Dear All,
I am interested in perspectives on strategies for "validating" NONMEM.
Also, experiences from or with the FDA since the FDA is: a key user,
customer of analysis and auditor of NONMEM use in the industry. Without
a large nonmem staff here, the challenge I see is in scaling the
validation strategy to provide the most efficient environment for doing
analysis that is defensible to both internal and external audits based
on the associated GxP risk level.
Below are the concepts I've cobbled together, though instead of my
reinventing the wheel I appreciate anything you could share. Any and all
gems of insight you can share whether it regard the big picture or some
detailed specifics, IT centric or business process related. You may send
them back to the listserver or me directly as you feel appropriate.
Details:
~~~~~~~~~~~~~~~~~~~~~~~~~~~
>From searching the archives and other random bits of knowledge on
NONMEM, part of the validation strategy is to recognize that NONMEM is
not to be literally validated. NONMEM may be considered more of a
development environment, optimized for developing specialized forms of
complex analysis and modeling. As a development platform, an approach
could be that NONMEM itself is qualified and each specific analysis is
validated individually.
To support establishing a defensible NONMEM environment, I've also read
discussions on integrating common software development best practices
such as version control of the "programming" of nonmem, NMQual and other
commercial and custom tools for capturing all the metadata related to
running a specific NONMEM job. These themes support defining the state
of the NONMEM environment and ability to reproduce the outcomes.
Also, reading in the archives about the differences in the numeric
outcomes of NONMEM analyses based on the hardware platform, etc. are
helpful to know up front and to consider in the validation strategy so
it is not destined to failure if the target environment is multiplatform
or otherwise complex.
Gaps noticed/topics not discussed:
~~~~~~~~~~~~~~~~~~~~~~~~~~~
Is there opportunity in looking at the risk based approached sanctioned
by the FDA a few years ago that would make the total validation
deliverable, including both the application and the model development
process, more lean and targeted at the primary risk targets?
Does this scientific software environment lend itself to use of modern
agile software development methodologies that go far beyond basic
iterative approaches. These methodologies are being used in software
development for the regulated/GxP industry.
I've seen the excellent presentation from 2004 that Joga Gobburu from
the FDA gave, seems like there has been some progression of thought or
actions on the proposals included there. Any references to follow-up
information on it would be helpful?
Regards ,
Mark Vilicich
Early Development
[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>
Validation Strategy for NONMEM
16 messages
8 people
Latest: Oct 24, 2008
Dear Mark,
I am engaged in this question since the beginning of this year (not
finished yet), and I am happy to share some basics of my experiences:
1. It is important to specify where the data for NONMEM analysis come
from. If they come from a GCP source and are already QA-ed when they
arrive at the doorstep of NONMEM then your system will only subject to GCP
regulation. Otherwise, you also have to comply with GLP.
2. There is no way around what is called here a 'Validation Plan' and
a 'Risk Analysis'. These documents will trigger a slate of other documents
(in our case here about 15) which describe Installation, Installation
Validation, Qualification of Users, Modeling Strategy, Review Processes,
System Life Cycle Management etc.
3. We found it useful to differentiate between 'Exploratory Work' and
'Submission Work'.
4. Before you worry about passing inspection by the FDA, you need to
worry about passing inspection of your own company QA officers.
5. Just installing NONMEM with NMQual does not render you new system
'validated' or 'qualified'. Here my apologies to the excellent folks at
Metrum, but for various reasons, we ended up not using NMQual.
6. You have to know what you are trying to build before you concern
yourself about QA processes. A number of separate installations on PCs
linked to a file server is a different animal from a server-based
installation with a grid engine.
7. It all takes more time than you think: make generous budgets and
time lines.
I hope I helped more than I confused,
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: joachim.grevel
"Vilicich, Mark" <Mark.Vilicich
Sent by: owner-nmusers
10/17/2008 10:08 PM
To
<nmusers
cc
Subject
[NMusers] Validation Strategy for NONMEM
Dear All,
I am interested in perspectives on strategies for "validating" NONMEM.
Also, experiences from or with the FDA since the FDA is: a key user,
customer of analysis and auditor of NONMEM use in the industry. Without a
large nonmem staff here, the challenge I see is in scaling the validation
strategy to provide the most efficient environment for doing analysis that
is defensible to both internal and external audits based on the associated
GxP risk level.
Below are the concepts I've cobbled together, though instead of my
reinventing the wheel I appreciate anything you could share. Any and all
gems of insight you can share whether it regard the big picture or some
detailed specifics, IT centric or business process related. You may send
them back to the listserver or me directly as you feel appropriate.
Details:
~~~~~~~~~~~~~~~~~~~~~~~~~~~
From searching the archives and other random bits of knowledge on NONMEM,
part of the validation strategy is to recognize that NONMEM is not to be
literally validated. NONMEM may be considered more of a development
environment, optimized for developing specialized forms of complex
analysis and modeling. As a development platform, an approach could be
that NONMEM itself is qualified and each specific analysis is validated
individually.
To support establishing a defensible NONMEM environment, I've also read
discussions on integrating common software development best practices such
as version control of the "programming" of nonmem, NMQual and other
commercial and custom tools for capturing all the metadata related to
running a specific NONMEM job. These themes support defining the state of
the NONMEM environment and ability to reproduce the outcomes.
Also, reading in the archives about the differences in the numeric
outcomes of NONMEM analyses based on the hardware platform, etc. are
helpful to know up front and to consider in the validation strategy so it
is not destined to failure if the target environment is multiplatform or
otherwise complex.
Gaps noticed/topics not discussed:
~~~~~~~~~~~~~~~~~~~~~~~~~~~
Is there opportunity in looking at the risk based approached sanctioned by
the FDA a few years ago that would make the total validation deliverable,
including both the application and the model development process, more
lean and targeted at the primary risk targets?
Does this scientific software environment lend itself to use of modern
agile software development methodologies that go far beyond basic
iterative approaches. These methodologies are being used in software
development for the regulated/GxP industry.
I've seen the excellent presentation from 2004 that Joga Gobburu from the
FDA gave, seems like there has been some progression of thought or actions
on the proposals included there. Any references to follow-up information
on it would be helpful?
Regards ,
Mark Vilicich
Early Development
mark.vilicich
-----------------------------------------
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--=_alternative 00281D63C12574E9_=--
Dear Mark,
I am engaged in this question since the beginning of this year (not
finished yet), and I am happy to share some basics of my experiences:
1. It is important to specify where the data for NONMEM analysis come
from. If they come from a GCP source and are already QA-ed when they
arrive at the doorstep of NONMEM then your system will only subject to GCP
regulation. Otherwise, you also have to comply with GLP.
2. There is no way around what is called here a 'Validation Plan' and
a 'Risk Analysis'. These documents will trigger a slate of other documents
(in our case here about 15) which describe Installation, Installation
Validation, Qualification of Users, Modeling Strategy, Review Processes,
System Life Cycle Management etc.
3. We found it useful to differentiate between 'Exploratory Work' and
'Submission Work'.
4. Before you worry about passing inspection by the FDA, you need to
worry about passing inspection of your own company QA officers.
5. Just installing NONMEM with NMQual does not render you new system
'validated' or 'qualified'. Here my apologies to the excellent folks at
Metrum, but for various reasons, we ended up not using NMQual.
6. You have to know what you are trying to build before you concern
yourself about QA processes. A number of separate installations on PCs
linked to a file server is a different animal from a server-based
installation with a grid engine.
7. It all takes more time than you think: make generous budgets and
time lines.
I hope I helped more than I confused,
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: [EMAIL PROTECTED]
"Vilicich, Mark" <[EMAIL PROTECTED]>
Sent by: [EMAIL PROTECTED]
10/17/2008 10:08 PM
To
<[email protected]>
cc
Subject
[NMusers] Validation Strategy for NONMEM
Dear All,
I am interested in perspectives on strategies for "validating" NONMEM.
Also, experiences from or with the FDA since the FDA is: a key user,
customer of analysis and auditor of NONMEM use in the industry. Without a
large nonmem staff here, the challenge I see is in scaling the validation
strategy to provide the most efficient environment for doing analysis that
is defensible to both internal and external audits based on the associated
GxP risk level.
Below are the concepts I've cobbled together, though instead of my
reinventing the wheel I appreciate anything you could share. Any and all
gems of insight you can share whether it regard the big picture or some
detailed specifics, IT centric or business process related. You may send
them back to the listserver or me directly as you feel appropriate.
Details:
~~~~~~~~~~~~~~~~~~~~~~~~~~~
>From searching the archives and other random bits of knowledge on NONMEM,
part of the validation strategy is to recognize that NONMEM is not to be
literally validated. NONMEM may be considered more of a development
environment, optimized for developing specialized forms of complex
analysis and modeling. As a development platform, an approach could be
that NONMEM itself is qualified and each specific analysis is validated
individually.
To support establishing a defensible NONMEM environment, I've also read
discussions on integrating common software development best practices such
as version control of the "programming" of nonmem, NMQual and other
commercial and custom tools for capturing all the metadata related to
running a specific NONMEM job. These themes support defining the state of
the NONMEM environment and ability to reproduce the outcomes.
Also, reading in the archives about the differences in the numeric
outcomes of NONMEM analyses based on the hardware platform, etc. are
helpful to know up front and to consider in the validation strategy so it
is not destined to failure if the target environment is multiplatform or
otherwise complex.
Gaps noticed/topics not discussed:
~~~~~~~~~~~~~~~~~~~~~~~~~~~
Is there opportunity in looking at the risk based approached sanctioned by
the FDA a few years ago that would make the total validation deliverable,
including both the application and the model development process, more
lean and targeted at the primary risk targets?
Does this scientific software environment lend itself to use of modern
agile software development methodologies that go far beyond basic
iterative approaches. These methodologies are being used in software
development for the regulated/GxP industry.
I've seen the excellent presentation from 2004 that Joga Gobburu from the
FDA gave, seems like there has been some progression of thought or actions
on the proposals included there. Any references to follow-up information
on it would be helpful?
Regards ,
Mark Vilicich
Early Development
[EMAIL PROTECTED]
-----------------------------------------
This message and any attachment are confidential, may be privileged
or otherwise protected from disclosure and are intended only for
use by the addressee(s) named herein. If you are not the intended
recipient, you must not copy this message or attachment or disclose
the contents to any other person. If you have received this
transmission in error, please notify the sender immediately and
delete the message and any attachment from your system. Merck
Serono does not accept liability for any omissions or errors in
this message which may arise as a result of E-Mail-transmission or
for damages resulting from any unauthorized changes of the content
of this message and any attachment thereto. If verification is
required, please request a hard-copy version. Merck Serono does not
guarantee that this message is free of viruses and does not accept
liability for any damages caused by any virus transmitted
therewith.
Dear all -
One possible reference document that might help is the R-FDA
certification document. (The title is misleading, it just contains
guidance on the issues surrouding the use of R in a regulatory
environment, i.e. Pharma Development, and what the concerns might be).
A link to the PDF document can be found at:
http://www.r-project.org/certification.html
While it doesn't directly address NONMEM, it does try to describe the
concerns that one might have for software validation of tools
surrounding "data analysis", with illustrations of resolutions for R
(open source statistical analysis environment).
Truth in advertising clause: I plead guilty to being one of the
authors, as we needed it at Novartis.
Quoted reply history
On Tue, Oct 21, 2008 at 9:18 AM, <[EMAIL PROTECTED]> wrote:
>
> Dear Mark,
>
> I am engaged in this question since the beginning of this year (not finished
> yet), and I am happy to share some basics of my experiences:
>
> 1. It is important to specify where the data for NONMEM analysis come
> from. If they come from a GCP source and are already QA-ed when they arrive
> at the doorstep of NONMEM then your system will only subject to GCP
> regulation. Otherwise, you also have to comply with GLP.
>
> 2. There is no way around what is called here a 'Validation Plan' and
> a 'Risk Analysis'. These documents will trigger a slate of other documents
> (in our case here about 15) which describe Installation, Installation
> Validation, Qualification of Users, Modeling Strategy, Review Processes,
> System Life Cycle Management etc.
>
> 3. We found it useful to differentiate between 'Exploratory Work' and
> 'Submission Work'.
>
> 4. Before you worry about passing inspection by the FDA, you need to
> worry about passing inspection of your own company QA officers.
>
> 5. Just installing NONMEM with NMQual does not render you new system
> 'validated' or 'qualified'. Here my apologies to the excellent folks at
> Metrum, but for various reasons, we ended up not using NMQual.
>
> 6. You have to know what you are trying to build before you concern
> yourself about QA processes. A number of separate installations on PCs
> linked to a file server is a different animal from a server-based
> installation with a grid engine.
>
> 7. It all takes more time than you think: make generous budgets and
> time lines.
>
> I hope I helped more than I confused,
>
> Joachim
>
> __________________________________________
> Joachim GREVEL, Ph.D.
> MERCK SERONO International S.A.
> Exploratory Medicine
> 1202 Geneva
> Tel: +41.22.414.4751
> Fax: +41.22.414.3059
> Email: [EMAIL PROTECTED]
>
>
>
>
> "Vilicich, Mark" <[EMAIL PROTECTED]>
> Sent by: [EMAIL PROTECTED]
>
> 10/17/2008 10:08 PM
>
> To
> <[email protected]>
> cc
> Subject
> [NMusers] Validation Strategy for NONMEM
>
>
>
>
> Dear All,
>
> I am interested in perspectives on strategies for "validating" NONMEM. Also,
> experiences from or with the FDA since the FDA is: a key user, customer of
> analysis and auditor of NONMEM use in the industry. Without a large nonmem
> staff here, the challenge I see is in scaling the validation strategy to
> provide the most efficient environment for doing analysis that is defensible
> to both internal and external audits based on the associated GxP risk level.
>
> Below are the concepts I've cobbled together, though instead of my
> reinventing the wheel I appreciate anything you could share. Any and all
> gems of insight you can share whether it regard the big picture or some
> detailed specifics, IT centric or business process related. You may send
> them back to the listserver or me directly as you feel appropriate.
>
> Details:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> From searching the archives and other random bits of knowledge on NONMEM,
> part of the validation strategy is to recognize that NONMEM is not to be
> literally validated. NONMEM may be considered more of a development
> environment, optimized for developing specialized forms of complex analysis
> and modeling. As a development platform, an approach could be that NONMEM
> itself is qualified and each specific analysis is validated individually.
>
> To support establishing a defensible NONMEM environment, I've also read
> discussions on integrating common software development best practices such
> as version control of the "programming" of nonmem, NMQual and other
> commercial and custom tools for capturing all the metadata related to
> running a specific NONMEM job. These themes support defining the state of
> the NONMEM environment and ability to reproduce the outcomes.
>
> Also, reading in the archives about the differences in the numeric outcomes
> of NONMEM analyses based on the hardware platform, etc. are helpful to know
> up front and to consider in the validation strategy so it is not destined to
> failure if the target environment is multiplatform or otherwise complex.
>
> Gaps noticed/topics not discussed:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Is there opportunity in looking at the risk based approached sanctioned by
> the FDA a few years ago that would make the total validation deliverable,
> including both the application and the model development process, more lean
> and targeted at the primary risk targets?
>
> Does this scientific software environment lend itself to use of modern agile
> software development methodologies that go far beyond basic iterative
> approaches. These methodologies are being used in software development for
> the regulated/GxP industry.
>
> I've seen the excellent presentation from 2004 that Joga Gobburu from the
> FDA gave, seems like there has been some progression of thought or actions
> on the proposals included there. Any references to follow-up information on
> it would be helpful?
>
> Regards ,
>
> Mark Vilicich
> Early Development
> [EMAIL PROTECTED]
>
> ________________________________
>
> This message and any attachment are confidential, may be privileged or
> otherwise protected from disclosure and are intended only for use by the
> addressee(s) named herein. If you are not the intended recipient, you must
> not copy this message or attachment or disclose the contents to any other
> person. If you have received this transmission in error, please notify the
> sender immediately and delete the message and any attachment from your
> system.
After reading this, it is no wonder scientific productivity is at an
all-time low. Imagine if Marie Curie had to qualify her radium-purifying
equipment, or if Alexander Fleming had to validate his petri dishes before
culturing Penecillium. One day scientists are going to push back against
these IT people, who just make busy work for everyone.
Joachim.Grevel
Sent by: owner-nmusers
21-Oct-2008 03:18
To
nmusers
cc
Subject
Re: [NMusers] Validation Strategy for NONMEM
Dear Mark,
I am engaged in this question since the beginning of this year (not
finished yet), and I am happy to share some basics of my experiences:
1. It is important to specify where the data for NONMEM analysis
come from. If they come from a GCP source and are already QA-ed when they
arrive at the doorstep of NONMEM then your system will only subject to GCP
regulation. Otherwise, you also have to comply with GLP.
2. There is no way around what is called here a 'Validation Plan'
and a 'Risk Analysis'. These documents will trigger a slate of other
documents (in our case here about 15) which describe Installation,
Installation Validation, Qualification of Users, Modeling Strategy, Review
Processes, System Life Cycle Management etc.
3. We found it useful to differentiate between 'Exploratory Work'
and 'Submission Work'.
4. Before you worry about passing inspection by the FDA, you need
to worry about passing inspection of your own company QA officers.
5. Just installing NONMEM with NMQual does not render you new
system 'validated' or 'qualified'. Here my apologies to the excellent
folks at Metrum, but for various reasons, we ended up not using NMQual.
6. You have to know what you are trying to build before you concern
yourself about QA processes. A number of separate installations on PCs
linked to a file server is a different animal from a server-based
installation with a grid engine.
7. It all takes more time than you think: make generous budgets and
time lines.
I hope I helped more than I confused,
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: joachim.grevel
"Vilicich, Mark" <Mark.Vilicich
Sent by: owner-nmusers
10/17/2008 10:08 PM
To
<nmusers
cc
Subject
[NMusers] Validation Strategy for NONMEM
Dear All,
I am interested in perspectives on strategies for "validating" NONMEM.
Also, experiences from or with the FDA since the FDA is: a key user,
customer of analysis and auditor of NONMEM use in the industry. Without a
large nonmem staff here, the challenge I see is in scaling the validation
strategy to provide the most efficient environment for doing analysis that
is defensible to both internal and external audits based on the associated
GxP risk level.
Below are the concepts I've cobbled together, though instead of my
reinventing the wheel I appreciate anything you could share. Any and all
gems of insight you can share whether it regard the big picture or some
detailed specifics, IT centric or business process related. You may send
them back to the listserver or me directly as you feel appropriate.
Details:
~~~~~~~~~~~~~~~~~~~~~~~~~~~
From searching the archives and other random bits of knowledge on NONMEM,
part of the validation strategy is to recognize that NONMEM is not to be
literally validated. NONMEM may be considered more of a development
environment, optimized for developing specialized forms of complex
analysis and modeling. As a development platform, an approach could be
that NONMEM itself is qualified and each specific analysis is validated
individually.
To support establishing a defensible NONMEM environment, I've also read
discussions on integrating common software development best practices such
as version control of the "programming" of nonmem, NMQual and other
commercial and custom tools for capturing all the metadata related to
running a specific NONMEM job. These themes support defining the state of
the NONMEM environment and ability to reproduce the outcomes.
Also, reading in the archives about the differences in the numeric
outcomes of NONMEM analyses based on the hardware platform, etc. are
helpful to know up front and to consider in the validation strategy so it
is not destined to failure if the target environment is multiplatform or
otherwise complex.
Gaps noticed/topics not discussed:
~~~~~~~~~~~~~~~~~~~~~~~~~~~
Is there opportunity in looking at the risk based approached sanctioned by
the FDA a few years ago that would make the total validation deliverable,
including both the application and the model development process, more
lean and targeted at the primary risk targets?
Does this scientific software environment lend itself to use of modern
agile software development methodologies that go far beyond basic
iterative approaches. These methodologies are being used in software
development for the regulated/GxP industry.
I've seen the excellent presentation from 2004 that Joga Gobburu from the
FDA gave, seems like there has been some progression of thought or actions
on the proposals included there. Any references to follow-up information
on it would be helpful?
Regards ,
Mark Vilicich
Early Development
mark.vilicich
This message and any attachment are confidential, may be privileged or
otherwise protected from disclosure and are intended only for use by the
addressee(s) named herein. If you are not the intended recipient, you must
not copy this message or attachment or disclose the contents to any other
person. If you have received this transmission in error, please notify the
sender immediately and delete the message and any attachment from your
system.
After reading this, it is no wonder scientific productivity is at an
all-time low. Imagine if Marie Curie had to qualify her radium-purifying
equipment, or if Alexander Fleming had to validate his petri dishes before
culturing Penecillium. One day scientists are going to push back against
these IT people, who just make busy work for everyone.
[EMAIL PROTECTED]
Sent by: [EMAIL PROTECTED]
21-Oct-2008 03:18
To
[email protected]
cc
Subject
Re: [NMusers] Validation Strategy for NONMEM
Dear Mark,
I am engaged in this question since the beginning of this year (not
finished yet), and I am happy to share some basics of my experiences:
1. It is important to specify where the data for NONMEM analysis
come from. If they come from a GCP source and are already QA-ed when they
arrive at the doorstep of NONMEM then your system will only subject to GCP
regulation. Otherwise, you also have to comply with GLP.
2. There is no way around what is called here a 'Validation Plan'
and a 'Risk Analysis'. These documents will trigger a slate of other
documents (in our case here about 15) which describe Installation,
Installation Validation, Qualification of Users, Modeling Strategy, Review
Processes, System Life Cycle Management etc.
3. We found it useful to differentiate between 'Exploratory Work'
and 'Submission Work'.
4. Before you worry about passing inspection by the FDA, you need
to worry about passing inspection of your own company QA officers.
5. Just installing NONMEM with NMQual does not render you new
system 'validated' or 'qualified'. Here my apologies to the excellent
folks at Metrum, but for various reasons, we ended up not using NMQual.
6. You have to know what you are trying to build before you concern
yourself about QA processes. A number of separate installations on PCs
linked to a file server is a different animal from a server-based
installation with a grid engine.
7. It all takes more time than you think: make generous budgets and
time lines.
I hope I helped more than I confused,
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: [EMAIL PROTECTED]
"Vilicich, Mark" <[EMAIL PROTECTED]>
Sent by: [EMAIL PROTECTED]
10/17/2008 10:08 PM
To
<[email protected]>
cc
Subject
[NMusers] Validation Strategy for NONMEM
Dear All,
I am interested in perspectives on strategies for "validating" NONMEM.
Also, experiences from or with the FDA since the FDA is: a key user,
customer of analysis and auditor of NONMEM use in the industry. Without a
large nonmem staff here, the challenge I see is in scaling the validation
strategy to provide the most efficient environment for doing analysis that
is defensible to both internal and external audits based on the associated
GxP risk level.
Below are the concepts I've cobbled together, though instead of my
reinventing the wheel I appreciate anything you could share. Any and all
gems of insight you can share whether it regard the big picture or some
detailed specifics, IT centric or business process related. You may send
them back to the listserver or me directly as you feel appropriate.
Details:
~~~~~~~~~~~~~~~~~~~~~~~~~~~
>From searching the archives and other random bits of knowledge on NONMEM,
part of the validation strategy is to recognize that NONMEM is not to be
literally validated. NONMEM may be considered more of a development
environment, optimized for developing specialized forms of complex
analysis and modeling. As a development platform, an approach could be
that NONMEM itself is qualified and each specific analysis is validated
individually.
To support establishing a defensible NONMEM environment, I've also read
discussions on integrating common software development best practices such
as version control of the "programming" of nonmem, NMQual and other
commercial and custom tools for capturing all the metadata related to
running a specific NONMEM job. These themes support defining the state of
the NONMEM environment and ability to reproduce the outcomes.
Also, reading in the archives about the differences in the numeric
outcomes of NONMEM analyses based on the hardware platform, etc. are
helpful to know up front and to consider in the validation strategy so it
is not destined to failure if the target environment is multiplatform or
otherwise complex.
Gaps noticed/topics not discussed:
~~~~~~~~~~~~~~~~~~~~~~~~~~~
Is there opportunity in looking at the risk based approached sanctioned by
the FDA a few years ago that would make the total validation deliverable,
including both the application and the model development process, more
lean and targeted at the primary risk targets?
Does this scientific software environment lend itself to use of modern
agile software development methodologies that go far beyond basic
iterative approaches. These methodologies are being used in software
development for the regulated/GxP industry.
I've seen the excellent presentation from 2004 that Joga Gobburu from the
FDA gave, seems like there has been some progression of thought or actions
on the proposals included there. Any references to follow-up information
on it would be helpful?
Regards ,
Mark Vilicich
Early Development
[EMAIL PROTECTED]
This message and any attachment are confidential, may be privileged or
otherwise protected from disclosure and are intended only for use by the
addressee(s) named herein. If you are not the intended recipient, you must
not copy this message or attachment or disclose the contents to any other
person. If you have received this transmission in error, please notify the
sender immediately and delete the message and any attachment from your
system.
Tony,
To expand a bit on your useful validation definition.
Making sure computational results are reproducible does not mean they are correct. I believe that most NONMEM analyses cannot be proven to be correct therefore the validation efforts only assure reproducibility. Whether this makes the validation useful or useless is debatable.
Nick
A.J. Rossini wrote:
> There is useless validation, and then there is useful validation. The
> latter is about making sure your computational results are
> reproducible, the former is about making sure that your documentation
> can be photocopied. It's sort of the same thing, if you aren't a
> modeler.
>
> Unfortunately, most on this list tend to be modelers.
>
Quoted reply history
> On Tue, Oct 21, 2008 at 7:37 PM, <[EMAIL PROTECTED]> wrote:
>
> > After reading this, it is no wonder scientific productivity is at an
> > all-time low. Imagine if Marie Curie had to qualify her radium-purifying
> > equipment, or if Alexander Fleming had to validate his petri dishes before
> > culturing Penecillium. One day scientists are going to push back against
> > these IT people, who just make busy work for everyone.
> >
> > [EMAIL PROTECTED]
> > Sent by: [EMAIL PROTECTED]
> >
> > 21-Oct-2008 03:18
> >
> > To
> > [email protected]
> > cc
> > Subject
> > Re: [NMusers] Validation Strategy for NONMEM
> >
> > Dear Mark,
> >
> > I am engaged in this question since the beginning of this year (not finished
> > yet), and I am happy to share some basics of my experiences:
> >
> > 1. It is important to specify where the data for NONMEM analysis come
> > from. If they come from a GCP source and are already QA-ed when they arrive
> > at the doorstep of NONMEM then your system will only subject to GCP
> > regulation. Otherwise, you also have to comply with GLP.
> >
> > 2. There is no way around what is called here a 'Validation Plan' and
> > a 'Risk Analysis'. These documents will trigger a slate of other documents
> > (in our case here about 15) which describe Installation, Installation
> > Validation, Qualification of Users, Modeling Strategy, Review Processes,
> > System Life Cycle Management etc.
> >
> > 3. We found it useful to differentiate between 'Exploratory Work' and
> > 'Submission Work'.
> >
> > 4. Before you worry about passing inspection by the FDA, you need to
> > worry about passing inspection of your own company QA officers.
> >
> > 5. Just installing NONMEM with NMQual does not render you new system
> > 'validated' or 'qualified'. Here my apologies to the excellent folks at
> > Metrum, but for various reasons, we ended up not using NMQual.
> >
> > 6. You have to know what you are trying to build before you concern
> > yourself about QA processes. A number of separate installations on PCs
> > linked to a file server is a different animal from a server-based
> > installation with a grid engine.
> >
> > 7. It all takes more time than you think: make generous budgets and
> > time lines.
> >
> > I hope I helped more than I confused,
> >
> > Joachim
> >
> > __________________________________________
> > Joachim GREVEL, Ph.D.
> > MERCK SERONO International S.A.
> > Exploratory Medicine
> > 1202 Geneva
> > Tel: +41.22.414.4751
> > Fax: +41.22.414.3059
> > Email: [EMAIL PROTECTED]
> >
> > "Vilicich, Mark" <[EMAIL PROTECTED]>
> > Sent by: [EMAIL PROTECTED]
> >
> > 10/17/2008 10:08 PM
> >
> > To
> > <[email protected]>
> > cc
> > Subject
> > [NMusers] Validation Strategy for NONMEM
> >
> > Dear All,
> >
> > I am interested in perspectives on strategies for "validating" NONMEM. Also,
> > experiences from or with the FDA since the FDA is: a key user, customer of
> > analysis and auditor of NONMEM use in the industry. Without a large nonmem
> > staff here, the challenge I see is in scaling the validation strategy to
> > provide the most efficient environment for doing analysis that is defensible
> > to both internal and external audits based on the associated GxP risk level.
> >
> > Below are the concepts I've cobbled together, though instead of my
> > reinventing the wheel I appreciate anything you could share. Any and all
> > gems of insight you can share whether it regard the big picture or some
> > detailed specifics, IT centric or business process related. You may send
> > them back to the listserver or me directly as you feel appropriate.
> >
> > Details:
> > ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> > From searching the archives and other random bits of knowledge on NONMEM,
> > part of the validation strategy is to recognize that NONMEM is not to be
> > literally validated. NONMEM may be considered more of a development
> > environment, optimized for developing specialized forms of complex analysis
> > and modeling. As a development platform, an approach could be that NONMEM
> > itself is qualified and each specific analysis is validated individually.
> >
> > To support establishing a defensible NONMEM environment, I've also read
> > discussions on integrating common software development best practices such
> > as version control of the "programming" of nonmem, NMQual and other
> > commercial and custom tools for capturing all the metadata related to
> > running a specific NONMEM job. These themes support defining the state of
> > the NONMEM environment and ability to reproduce the outcomes.
> >
> > Also, reading in the archives about the differences in the numeric outcomes
> > of NONMEM analyses based on the hardware platform, etc. are helpful to know
> > up front and to consider in the validation strategy so it is not destined to
> > failure if the target environment is multiplatform or otherwise complex.
> >
> > Gaps noticed/topics not discussed:
> > ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> > Is there opportunity in looking at the risk based approached sanctioned by
> > the FDA a few years ago that would make the total validation deliverable,
> > including both the application and the model development process, more lean
> > and targeted at the primary risk targets?
> >
> > Does this scientific software environment lend itself to use of modern agile
> > software development methodologies that go far beyond basic iterative
> > approaches. These methodologies are being used in software development for
> > the regulated/GxP industry.
> >
> > I've seen the excellent presentation from 2004 that Joga Gobburu from the
> > FDA gave, seems like there has been some progression of thought or actions
> > on the proposals included there. Any references to follow-up information on
> > it would be helpful?
> >
> > Regards ,
> >
> > Mark Vilicich
> > Early Development
> > [EMAIL PROTECTED]
> >
> > ________________________________
> >
> > This message and any attachment are confidential, may be privileged or
> > otherwise protected from disclosure and are intended only for use by the
> > addressee(s) named herein. If you are not the intended recipient, you must
> > not copy this message or attachment or disclose the contents to any other
> > person. If you have received this transmission in error, please notify the
> > sender immediately and delete the message and any attachment from your
> > system.
Just to add a bit on the point Nick has brought up. Even if NONMEM can be
validated somehow (the only way I see is someone develops a validation
suite) there is still no guarantee to obtain the "right" results. Because
both algorithm (softwares) and human inputs (e.g. model construction,
initial values) contribute to the NONMEM results. A validation is just to
demonstrate the software is doing what it is supposed to do.
Jun
Quoted reply history
On Tue, Oct 21, 2008 at 4:11 PM, Nick Holford <[EMAIL PROTECTED]>wrote:
> Tony,
>
> To expand a bit on your useful validation definition.
>
> Making sure computational results are reproducible does not mean they are
> correct. I believe that most NONMEM analyses cannot be proven to be correct
> therefore the validation efforts only assure reproducibility. Whether this
> makes the validation useful or useless is debatable.
>
> Nick
>
>
>
>
> A.J. Rossini wrote:
>
>> There is useless validation, and then there is useful validation. The
>> latter is about making sure your computational results are
>> reproducible, the former is about making sure that your documentation
>> can be photocopied. It's sort of the same thing, if you aren't a
>> modeler.
>>
>> Unfortunately, most on this list tend to be modelers.
>>
>> On Tue, Oct 21, 2008 at 7:37 PM, <[EMAIL PROTECTED]> wrote:
>>
>>
>>> After reading this, it is no wonder scientific productivity is at an
>>> all-time low. Imagine if Marie Curie had to qualify her radium-purifying
>>> equipment, or if Alexander Fleming had to validate his petri dishes
>>> before
>>> culturing Penecillium. One day scientists are going to push back against
>>> these IT people, who just make busy work for everyone.
>>>
>>>
>>>
>>> [EMAIL PROTECTED]
>>> Sent by: [EMAIL PROTECTED]
>>>
>>> 21-Oct-2008 03:18
>>>
>>>
>>> To
>>> [email protected]
>>> cc
>>> Subject
>>> Re: [NMusers] Validation Strategy for NONMEM
>>>
>>>
>>>
>>>
>>>
>>> Dear Mark,
>>>
>>> I am engaged in this question since the beginning of this year (not
>>> finished
>>> yet), and I am happy to share some basics of my experiences:
>>>
>>> 1. It is important to specify where the data for NONMEM analysis
>>> come
>>> from. If they come from a GCP source and are already QA-ed when they
>>> arrive
>>> at the doorstep of NONMEM then your system will only subject to GCP
>>> regulation. Otherwise, you also have to comply with GLP.
>>>
>>> 2. There is no way around what is called here a 'Validation Plan'
>>> and
>>> a 'Risk Analysis'. These documents will trigger a slate of other
>>> documents
>>> (in our case here about 15) which describe Installation, Installation
>>> Validation, Qualification of Users, Modeling Strategy, Review Processes,
>>> System Life Cycle Management etc.
>>>
>>> 3. We found it useful to differentiate between 'Exploratory Work'
>>> and
>>> 'Submission Work'.
>>>
>>> 4. Before you worry about passing inspection by the FDA, you need
>>> to
>>> worry about passing inspection of your own company QA officers.
>>>
>>> 5. Just installing NONMEM with NMQual does not render you new
>>> system
>>> 'validated' or 'qualified'. Here my apologies to the excellent folks at
>>> Metrum, but for various reasons, we ended up not using NMQual.
>>>
>>> 6. You have to know what you are trying to build before you
>>> concern
>>> yourself about QA processes. A number of separate installations on PCs
>>> linked to a file server is a different animal from a server-based
>>> installation with a grid engine.
>>>
>>> 7. It all takes more time than you think: make generous budgets
>>> and
>>> time lines.
>>>
>>> I hope I helped more than I confused,
>>>
>>> Joachim
>>>
>>> __________________________________________
>>> Joachim GREVEL, Ph.D.
>>> MERCK SERONO International S.A.
>>> Exploratory Medicine
>>> 1202 Geneva
>>> Tel: +41.22.414.4751
>>> Fax: +41.22.414.3059
>>> Email: [EMAIL PROTECTED]
>>>
>>>
>>>
>>> "Vilicich, Mark" <[EMAIL PROTECTED]>
>>> Sent by: [EMAIL PROTECTED]
>>>
>>> 10/17/2008 10:08 PM
>>>
>>> To
>>> <[email protected]>
>>> cc
>>> Subject
>>> [NMusers] Validation Strategy for NONMEM
>>>
>>>
>>>
>>>
>>>
>>>
>>> Dear All,
>>>
>>> I am interested in perspectives on strategies for "validating" NONMEM.
>>> Also,
>>> experiences from or with the FDA since the FDA is: a key user, customer
>>> of
>>> analysis and auditor of NONMEM use in the industry. Without a large
>>> nonmem
>>> staff here, the challenge I see is in scaling the validation strategy to
>>> provide the most efficient environment for doing analysis that is
>>> defensible
>>> to both internal and external audits based on the associated GxP risk
>>> level.
>>>
>>> Below are the concepts I've cobbled together, though instead of my
>>> reinventing the wheel I appreciate anything you could share. Any and all
>>> gems of insight you can share whether it regard the big picture or some
>>> detailed specifics, IT centric or business process related. You may send
>>> them back to the listserver or me directly as you feel appropriate.
>>>
>>> Details:
>>> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
>>> From searching the archives and other random bits of knowledge on NONMEM,
>>> part of the validation strategy is to recognize that NONMEM is not to be
>>> literally validated. NONMEM may be considered more of a development
>>> environment, optimized for developing specialized forms of complex
>>> analysis
>>> and modeling. As a development platform, an approach could be that NONMEM
>>> itself is qualified and each specific analysis is validated individually.
>>>
>>> To support establishing a defensible NONMEM environment, I've also read
>>> discussions on integrating common software development best practices
>>> such
>>> as version control of the "programming" of nonmem, NMQual and other
>>> commercial and custom tools for capturing all the metadata related to
>>> running a specific NONMEM job. These themes support defining the state of
>>> the NONMEM environment and ability to reproduce the outcomes.
>>>
>>> Also, reading in the archives about the differences in the numeric
>>> outcomes
>>> of NONMEM analyses based on the hardware platform, etc. are helpful to
>>> know
>>> up front and to consider in the validation strategy so it is not destined
>>> to
>>> failure if the target environment is multiplatform or otherwise complex.
>>>
>>> Gaps noticed/topics not discussed:
>>> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
>>> Is there opportunity in looking at the risk based approached sanctioned
>>> by
>>> the FDA a few years ago that would make the total validation deliverable,
>>> including both the application and the model development process, more
>>> lean
>>> and targeted at the primary risk targets?
>>>
>>> Does this scientific software environment lend itself to use of modern
>>> agile
>>> software development methodologies that go far beyond basic iterative
>>> approaches. These methodologies are being used in software development
>>> for
>>> the regulated/GxP industry.
>>>
>>> I've seen the excellent presentation from 2004 that Joga Gobburu from the
>>> FDA gave, seems like there has been some progression of thought or
>>> actions
>>> on the proposals included there. Any references to follow-up information
>>> on
>>> it would be helpful?
>>>
>>> Regards ,
>>>
>>> Mark Vilicich
>>> Early Development
>>> [EMAIL PROTECTED]
>>>
>>> ________________________________
>>>
>>> This message and any attachment are confidential, may be privileged or
>>> otherwise protected from disclosure and are intended only for use by the
>>> addressee(s) named herein. If you are not the intended recipient, you
>>> must
>>> not copy this message or attachment or disclose the contents to any other
>>> person. If you have received this transmission in error, please notify
>>> the
>>> sender immediately and delete the message and any attachment from your
>>> system.
Dear all,
one of the more useful things we did was an exchange of data files and
models with a prominent member of our modeling community. This way we
challenged various aspects of our installation, found some soft spot,
corrected it, and wrote a document that is worth more than the ink and the
paper. Yet again, all we did was assuring that our results match those of
a number of other installations (different compilers, operating systems,
processors). Furthermore, we got an idea of the comparative speed of our
installation. These are useful things to have documented when you are a
system administrator and modeler at the same time.
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: joachim.grevel
"A.J. Rossini" <blindglobe
10/21/2008 10:41 PM
To
Michael.J.Fossler
cc
Joachim.Grevel
Subject
Re: [NMusers] Validation Strategy for NONMEM
There is useless validation, and then there is useful validation. The
latter is about making sure your computational results are
reproducible, the former is about making sure that your documentation
can be photocopied. It's sort of the same thing, if you aren't a
modeler.
Unfortunately, most on this list tend to be modelers.
On Tue, Oct 21, 2008 at 7:37 PM, <Michael.J.Fossler
>
> After reading this, it is no wonder scientific productivity is at an
> all-time low. Imagine if Marie Curie had to qualify her radium-purifying
> equipment, or if Alexander Fleming had to validate his petri dishes
before
> culturing Penecillium. One day scientists are going to push back against
> these IT people, who just make busy work for everyone.
>
>
>
> Joachim.Grevel
> Sent by: owner-nmusers
>
> 21-Oct-2008 03:18
>
>
> To
> nmusers
> cc
> Subject
> Re: [NMusers] Validation Strategy for NONMEM
>
>
>
>
>
> Dear Mark,
>
> I am engaged in this question since the beginning of this year (not
finished
> yet), and I am happy to share some basics of my experiences:
>
> 1. It is important to specify where the data for NONMEM analysis
come
> from. If they come from a GCP source and are already QA-ed when they
arrive
> at the doorstep of NONMEM then your system will only subject to GCP
> regulation. Otherwise, you also have to comply with GLP.
>
> 2. There is no way around what is called here a 'Validation Plan'
and
> a 'Risk Analysis'. These documents will trigger a slate of other
documents
> (in our case here about 15) which describe Installation, Installation
> Validation, Qualification of Users, Modeling Strategy, Review Processes,
> System Life Cycle Management etc.
>
> 3. We found it useful to differentiate between 'Exploratory Work'
and
> 'Submission Work'.
>
> 4. Before you worry about passing inspection by the FDA, you need
to
> worry about passing inspection of your own company QA officers.
>
> 5. Just installing NONMEM with NMQual does not render you new
system
> 'validated' or 'qualified'. Here my apologies to the excellent folks at
> Metrum, but for various reasons, we ended up not using NMQual.
>
> 6. You have to know what you are trying to build before you
concern
> yourself about QA processes. A number of separate installations on PCs
> linked to a file server is a different animal from a server-based
> installation with a grid engine.
>
> 7. It all takes more time than you think: make generous budgets
and
> time lines.
>
> I hope I helped more than I confused,
>
> Joachim
>
> __________________________________________
> Joachim GREVEL, Ph.D.
> MERCK SERONO International S.A.
> Exploratory Medicine
> 1202 Geneva
> Tel: +41.22.414.4751
> Fax: +41.22.414.3059
> Email: joachim.grevel
>
>
>
> "Vilicich, Mark" <Mark.Vilicich
> Sent by: owner-nmusers
>
> 10/17/2008 10:08 PM
>
> To
> <nmusers
> cc
> Subject
> [NMusers] Validation Strategy for NONMEM
>
>
>
>
>
>
> Dear All,
>
> I am interested in perspectives on strategies for "validating" NONMEM.
Also,
> experiences from or with the FDA since the FDA is: a key user, customer
of
> analysis and auditor of NONMEM use in the industry. Without a large
nonmem
> staff here, the challenge I see is in scaling the validation strategy to
> provide the most efficient environment for doing analysis that is
defensible
> to both internal and external audits based on the associated GxP risk
level.
>
> Below are the concepts I've cobbled together, though instead of my
> reinventing the wheel I appreciate anything you could share. Any and all
> gems of insight you can share whether it regard the big picture or some
> detailed specifics, IT centric or business process related. You may send
> them back to the listserver or me directly as you feel appropriate.
>
> Details:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> From searching the archives and other random bits of knowledge on
NONMEM,
> part of the validation strategy is to recognize that NONMEM is not to be
> literally validated. NONMEM may be considered more of a development
> environment, optimized for developing specialized forms of complex
analysis
> and modeling. As a development platform, an approach could be that
NONMEM
> itself is qualified and each specific analysis is validated
individually.
>
> To support establishing a defensible NONMEM environment, I've also read
> discussions on integrating common software development best practices
such
> as version control of the "programming" of nonmem, NMQual and other
> commercial and custom tools for capturing all the metadata related to
> running a specific NONMEM job. These themes support defining the state
of
> the NONMEM environment and ability to reproduce the outcomes.
>
> Also, reading in the archives about the differences in the numeric
outcomes
> of NONMEM analyses based on the hardware platform, etc. are helpful to
know
> up front and to consider in the validation strategy so it is not
destined to
> failure if the target environment is multiplatform or otherwise complex.
>
> Gaps noticed/topics not discussed:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Is there opportunity in looking at the risk based approached sanctioned
by
> the FDA a few years ago that would make the total validation
deliverable,
> including both the application and the model development process, more
lean
> and targeted at the primary risk targets?
>
> Does this scientific software environment lend itself to use of modern
agile
> software development methodologies that go far beyond basic iterative
> approaches. These methodologies are being used in software development
for
> the regulated/GxP industry.
>
> I've seen the excellent presentation from 2004 that Joga Gobburu from
the
> FDA gave, seems like there has been some progression of thought or
actions
> on the proposals included there. Any references to follow-up information
on
> it would be helpful?
>
> Regards ,
>
> Mark Vilicich
> Early Development
> mark.vilicich
>
> ________________________________
>
> This message and any attachment are confidential, may be privileged or
> otherwise protected from disclosure and are intended only for use by the
> addressee(s) named herein. If you are not the intended recipient, you
must
> not copy this message or attachment or disclose the contents to any
other
> person. If you have received this transmission in error, please notify
the
> sender immediately and delete the message and any attachment from your
> system.
Dear all,
one of the more useful things we did was an exchange of data files and
models with a prominent member of our modeling community. This way we
challenged various aspects of our installation, found some soft spot,
corrected it, and wrote a document that is worth more than the ink and the
paper. Yet again, all we did was assuring that our results match those of
a number of other installations (different compilers, operating systems,
processors). Furthermore, we got an idea of the comparative speed of our
installation. These are useful things to have documented when you are a
system administrator and modeler at the same time.
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: [EMAIL PROTECTED]
"A.J. Rossini" <[EMAIL PROTECTED]>
10/21/2008 10:41 PM
To
[EMAIL PROTECTED]
cc
[EMAIL PROTECTED], [email protected]
Subject
Re: [NMusers] Validation Strategy for NONMEM
There is useless validation, and then there is useful validation. The
latter is about making sure your computational results are
reproducible, the former is about making sure that your documentation
can be photocopied. It's sort of the same thing, if you aren't a
modeler.
Unfortunately, most on this list tend to be modelers.
Quoted reply history
On Tue, Oct 21, 2008 at 7:37 PM, <[EMAIL PROTECTED]> wrote:
>
> After reading this, it is no wonder scientific productivity is at an
> all-time low. Imagine if Marie Curie had to qualify her radium-purifying
> equipment, or if Alexander Fleming had to validate his petri dishes
before
> culturing Penecillium. One day scientists are going to push back against
> these IT people, who just make busy work for everyone.
>
>
>
> [EMAIL PROTECTED]
> Sent by: [EMAIL PROTECTED]
>
> 21-Oct-2008 03:18
>
>
> To
> [email protected]
> cc
> Subject
> Re: [NMusers] Validation Strategy for NONMEM
>
>
>
>
>
> Dear Mark,
>
> I am engaged in this question since the beginning of this year (not
finished
> yet), and I am happy to share some basics of my experiences:
>
> 1. It is important to specify where the data for NONMEM analysis
come
> from. If they come from a GCP source and are already QA-ed when they
arrive
> at the doorstep of NONMEM then your system will only subject to GCP
> regulation. Otherwise, you also have to comply with GLP.
>
> 2. There is no way around what is called here a 'Validation Plan'
and
> a 'Risk Analysis'. These documents will trigger a slate of other
documents
> (in our case here about 15) which describe Installation, Installation
> Validation, Qualification of Users, Modeling Strategy, Review Processes,
> System Life Cycle Management etc.
>
> 3. We found it useful to differentiate between 'Exploratory Work'
and
> 'Submission Work'.
>
> 4. Before you worry about passing inspection by the FDA, you need
to
> worry about passing inspection of your own company QA officers.
>
> 5. Just installing NONMEM with NMQual does not render you new
system
> 'validated' or 'qualified'. Here my apologies to the excellent folks at
> Metrum, but for various reasons, we ended up not using NMQual.
>
> 6. You have to know what you are trying to build before you
concern
> yourself about QA processes. A number of separate installations on PCs
> linked to a file server is a different animal from a server-based
> installation with a grid engine.
>
> 7. It all takes more time than you think: make generous budgets
and
> time lines.
>
> I hope I helped more than I confused,
>
> Joachim
>
> __________________________________________
> Joachim GREVEL, Ph.D.
> MERCK SERONO International S.A.
> Exploratory Medicine
> 1202 Geneva
> Tel: +41.22.414.4751
> Fax: +41.22.414.3059
> Email: [EMAIL PROTECTED]
>
>
>
> "Vilicich, Mark" <[EMAIL PROTECTED]>
> Sent by: [EMAIL PROTECTED]
>
> 10/17/2008 10:08 PM
>
> To
> <[email protected]>
> cc
> Subject
> [NMusers] Validation Strategy for NONMEM
>
>
>
>
>
>
> Dear All,
>
> I am interested in perspectives on strategies for "validating" NONMEM.
Also,
> experiences from or with the FDA since the FDA is: a key user, customer
of
> analysis and auditor of NONMEM use in the industry. Without a large
nonmem
> staff here, the challenge I see is in scaling the validation strategy to
> provide the most efficient environment for doing analysis that is
defensible
> to both internal and external audits based on the associated GxP risk
level.
>
> Below are the concepts I've cobbled together, though instead of my
> reinventing the wheel I appreciate anything you could share. Any and all
> gems of insight you can share whether it regard the big picture or some
> detailed specifics, IT centric or business process related. You may send
> them back to the listserver or me directly as you feel appropriate.
>
> Details:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> From searching the archives and other random bits of knowledge on
NONMEM,
> part of the validation strategy is to recognize that NONMEM is not to be
> literally validated. NONMEM may be considered more of a development
> environment, optimized for developing specialized forms of complex
analysis
> and modeling. As a development platform, an approach could be that
NONMEM
> itself is qualified and each specific analysis is validated
individually.
>
> To support establishing a defensible NONMEM environment, I've also read
> discussions on integrating common software development best practices
such
> as version control of the "programming" of nonmem, NMQual and other
> commercial and custom tools for capturing all the metadata related to
> running a specific NONMEM job. These themes support defining the state
of
> the NONMEM environment and ability to reproduce the outcomes.
>
> Also, reading in the archives about the differences in the numeric
outcomes
> of NONMEM analyses based on the hardware platform, etc. are helpful to
know
> up front and to consider in the validation strategy so it is not
destined to
> failure if the target environment is multiplatform or otherwise complex.
>
> Gaps noticed/topics not discussed:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Is there opportunity in looking at the risk based approached sanctioned
by
> the FDA a few years ago that would make the total validation
deliverable,
> including both the application and the model development process, more
lean
> and targeted at the primary risk targets?
>
> Does this scientific software environment lend itself to use of modern
agile
> software development methodologies that go far beyond basic iterative
> approaches. These methodologies are being used in software development
for
> the regulated/GxP industry.
>
> I've seen the excellent presentation from 2004 that Joga Gobburu from
the
> FDA gave, seems like there has been some progression of thought or
actions
> on the proposals included there. Any references to follow-up information
on
> it would be helpful?
>
> Regards ,
>
> Mark Vilicich
> Early Development
> [EMAIL PROTECTED]
>
> ________________________________
>
> This message and any attachment are confidential, may be privileged or
> otherwise protected from disclosure and are intended only for use by the
> addressee(s) named herein. If you are not the intended recipient, you
must
> not copy this message or attachment or disclose the contents to any
other
> person. If you have received this transmission in error, please notify
the
> sender immediately and delete the message and any attachment from your
> system.
Dear Joachim,
Can you share some of your findings? What system configuration seems to be
optimal (hardware/OS system, compiler, any aiding software)? Thanks.
Jun
Quoted reply history
On Wed, Oct 22, 2008 at 1:21 AM, <[EMAIL PROTECTED]> wrote:
>
> Dear all,
>
> one of the more useful things we did was an exchange of data files and
> models with a prominent member of our modeling community. This way we
> challenged various aspects of our installation, found some soft spot,
> corrected it, and wrote a document that is worth more than the ink and the
> paper. Yet again, all we did was assuring that our results match those of a
> number of other installations (different compilers, operating systems,
> processors). Furthermore, we got an idea of the comparative speed of our
> installation. These are useful things to have documented when you are a
> system administrator and modeler at the same time.
>
> Joachim
>
> __________________________________________
> Joachim GREVEL, Ph.D.
> MERCK SERONO International S.A.
> Exploratory Medicine
> 1202 Geneva
> Tel: +41.22.414.4751
> Fax: +41.22.414.3059
> Email: [EMAIL PROTECTED]
>
>
>
>
> *"A.J. Rossini" <[EMAIL PROTECTED]>*
>
> 10/21/2008 10:41 PM
> To
> [EMAIL PROTECTED]
> cc
> [EMAIL PROTECTED], [email protected]
> Subject
> Re: [NMusers] Validation Strategy for NONMEM
>
>
>
>
> There is useless validation, and then there is useful validation. The
> latter is about making sure your computational results are
> reproducible, the former is about making sure that your documentation
> can be photocopied. It's sort of the same thing, if you aren't a
> modeler.
>
> Unfortunately, most on this list tend to be modelers.
>
> On Tue, Oct 21, 2008 at 7:37 PM, <[EMAIL PROTECTED]> wrote:
> >
> > After reading this, it is no wonder scientific productivity is at an
> > all-time low. Imagine if Marie Curie had to qualify her radium-purifying
> > equipment, or if Alexander Fleming had to validate his petri dishes
> before
> > culturing Penecillium. One day scientists are going to push back against
> > these IT people, who just make busy work for everyone.
> >
> >
> >
> > [EMAIL PROTECTED]
> > Sent by: [EMAIL PROTECTED]
> >
> > 21-Oct-2008 03:18
> >
> >
> > To
> > [email protected]
> > cc
> > Subject
> > Re: [NMusers] Validation Strategy for NONMEM
> >
> >
> >
> >
> >
> > Dear Mark,
> >
> > I am engaged in this question since the beginning of this year (not
> finished
> > yet), and I am happy to share some basics of my experiences:
> >
> > 1. It is important to specify where the data for NONMEM analysis
> come
> > from. If they come from a GCP source and are already QA-ed when they
> arrive
> > at the doorstep of NONMEM then your system will only subject to GCP
> > regulation. Otherwise, you also have to comply with GLP.
> >
> > 2. There is no way around what is called here a 'Validation Plan'
> and
> > a 'Risk Analysis'. These documents will trigger a slate of other
> documents
> > (in our case here about 15) which describe Installation, Installation
> > Validation, Qualification of Users, Modeling Strategy, Review Processes,
> > System Life Cycle Management etc.
> >
> > 3. We found it useful to differentiate between 'Exploratory Work'
> and
> > 'Submission Work'.
> >
> > 4. Before you worry about passing inspection by the FDA, you need
> to
> > worry about passing inspection of your own company QA officers.
> >
> > 5. Just installing NONMEM with NMQual does not render you new
> system
> > 'validated' or 'qualified'. Here my apologies to the excellent folks at
> > Metrum, but for various reasons, we ended up not using NMQual.
> >
> > 6. You have to know what you are trying to build before you
> concern
> > yourself about QA processes. A number of separate installations on PCs
> > linked to a file server is a different animal from a server-based
> > installation with a grid engine.
> >
> > 7. It all takes more time than you think: make generous budgets
> and
> > time lines.
> >
> > I hope I helped more than I confused,
> >
> > Joachim
> >
> > __________________________________________
> > Joachim GREVEL, Ph.D.
> > MERCK SERONO International S.A.
> > Exploratory Medicine
> > 1202 Geneva
> > Tel: +41.22.414.4751
> > Fax: +41.22.414.3059
> > Email: [EMAIL PROTECTED]
> >
> >
> >
> > "Vilicich, Mark" <[EMAIL PROTECTED]>
> > Sent by: [EMAIL PROTECTED]
> >
> > 10/17/2008 10:08 PM
> >
> > To
> > <[email protected]>
> > cc
> > Subject
> > [NMusers] Validation Strategy for NONMEM
> >
> >
> >
> >
> >
> >
> > Dear All,
> >
> > I am interested in perspectives on strategies for "validating" NONMEM.
> Also,
> > experiences from or with the FDA since the FDA is: a key user, customer
> of
> > analysis and auditor of NONMEM use in the industry. Without a large
> nonmem
> > staff here, the challenge I see is in scaling the validation strategy to
> > provide the most efficient environment for doing analysis that is
> defensible
> > to both internal and external audits based on the associated GxP risk
> level.
> >
> > Below are the concepts I've cobbled together, though instead of my
> > reinventing the wheel I appreciate anything you could share. Any and all
> > gems of insight you can share whether it regard the big picture or some
> > detailed specifics, IT centric or business process related. You may send
> > them back to the listserver or me directly as you feel appropriate.
> >
> > Details:
> > ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> > From searching the archives and other random bits of knowledge on NONMEM,
> > part of the validation strategy is to recognize that NONMEM is not to be
> > literally validated. NONMEM may be considered more of a development
> > environment, optimized for developing specialized forms of complex
> analysis
> > and modeling. As a development platform, an approach could be that NONMEM
> > itself is qualified and each specific analysis is validated individually.
> >
> > To support establishing a defensible NONMEM environment, I've also read
> > discussions on integrating common software development best practices
> such
> > as version control of the "programming" of nonmem, NMQual and other
> > commercial and custom tools for capturing all the metadata related to
> > running a specific NONMEM job. These themes support defining the state of
> > the NONMEM environment and ability to reproduce the outcomes.
> >
> > Also, reading in the archives about the differences in the numeric
> outcomes
> > of NONMEM analyses based on the hardware platform, etc. are helpful to
> know
> > up front and to consider in the validation strategy so it is not destined
> to
> > failure if the target environment is multiplatform or otherwise complex.
> >
> > Gaps noticed/topics not discussed:
> > ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> > Is there opportunity in looking at the risk based approached sanctioned
> by
> > the FDA a few years ago that would make the total validation deliverable,
> > including both the application and the model development process, more
> lean
> > and targeted at the primary risk targets?
> >
> > Does this scientific software environment lend itself to use of modern
> agile
> > software development methodologies that go far beyond basic iterative
> > approaches. These methodologies are being used in software development
> for
> > the regulated/GxP industry.
> >
> > I've seen the excellent presentation from 2004 that Joga Gobburu from the
> > FDA gave, seems like there has been some progression of thought or
> actions
> > on the proposals included there. Any references to follow-up information
> on
> > it would be helpful?
> >
> > Regards ,
> >
> > Mark Vilicich
> > Early Development
> > [EMAIL PROTECTED]
> >
> > ________________________________
> >
> > This message and any attachment are confidential, may be privileged or
> > otherwise protected from disclosure and are intended only for use by the
> > addressee(s) named herein. If you are not the intended recipient, you
> must
> > not copy this message or attachment or disclose the contents to any other
> > person. If you have received this transmission in error, please notify
> the
> > sender immediately and delete the message and any attachment from your
> > system.
Mark and all,
In today's regulatory climate, software qualification programs are expected to be guided by risk analysis (RA). The RA can be used to advantage in the case of NONMEM in that it can serve to define true impact (i.e., who are the NONMEM result end-users), and provide a rationale for the extent of qualification required. The RA itself is usually SOP driven and helps to get QA agreement early in the process.
As for QA, pharma company QA requirements for software qualification are well-known. The value of the QA process, as it is applied to NONMEM, is arguable, but the requirement to address the QA process remains. So one has to decide what makes sense and what can be done.
Since it may not be possible to prove the correctness of a result, a NONMEM qualification plan can be built around a strategy for developing confidence in the performance of a NONMEM installation and, by extension, confidence in the results obtained. How that case is built is going to vary between users and sites, but here are some points to consider: Is the NONMEM installation well-characterized (version, compiler)? Are bug fixes and changes to the NONMEM source code being managed by a change control process? Can you link a well- characterized NONMEM installation with a given analysis? Are performance and robustness adequately tested? Does the NONMEM installation run as part of a larger, formally qualified IS infrastructure? Are there QC processes in place that put checks on data integrity and scientific validity? Is there training in place to qualify system users? Questions like these are useful in forming a basis for user requirements, usually a first step in software qualification. The R-FDA white-paper is also instructive in outlining general software qualification considerations.
Jeff
---
Jeffrey Hane, PhD, COO and CIO, Metrum Research Group LLC [www.metrumrg.com ] Email: [EMAIL PROTECTED] Direct: +1.201.926.8612 Main: +1.860.735.7043
Quoted reply history
On Oct 17, 2008, at 4:08 PM, Vilicich, Mark wrote:
> Dear All,
>
> I am interested in perspectives on strategies for "validating" NONMEM. Also, experiences from or with the FDA since the FDA is: a key user, customer of analysis and auditor of NONMEM use in the industry. Without a large nonmem staff here, the challenge I see is in scaling the validation strategy to provide the most efficient environment for doing analysis that is defensible to both internal and external audits based on the associated GxP risk level.
>
> Below are the concepts I've cobbled together, though instead of my reinventing the wheel I appreciate anything you could share. Any and all gems of insight you can share whether it regard the big picture or some detailed specifics, IT centric or business process related. You may send them back to the listserver or me directly as you feel appropriate.
>
> Details:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
>
> From searching the archives and other random bits of knowledge on NONMEM, part of the validation strategy is to recognize that NONMEM is not to be literally validated. NONMEM may be considered more of a development environment, optimized for developing specialized forms of complex analysis and modeling. As a development platform, an approach could be that NONMEM itself is qualified and each specific analysis is validated individually.
>
> To support establishing a defensible NONMEM environment, I've also read discussions on integrating common software development best practices such as version control of the "programming" of nonmem, NMQual and other commercial and custom tools for capturing all the metadata related to running a specific NONMEM job. These themes support defining the state of the NONMEM environment and ability to reproduce the outcomes.
>
> Also, reading in the archives about the differences in the numeric outcomes of NONMEM analyses based on the hardware platform, etc. are helpful to know up front and to consider in the validation strategy so it is not destined to failure if the target environment is multiplatform or otherwise complex.
>
> Gaps noticed/topics not discussed:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
>
> Is there opportunity in looking at the risk based approached sanctioned by the FDA a few years ago that would make the total validation deliverable, including both the application and the model development process, more lean and targeted at the primary risk targets?
>
> Does this scientific software environment lend itself to use of modern agile software development methodologies that go far beyond basic iterative approaches. These methodologies are being used in software development for the regulated/GxP industry.
>
> I've seen the excellent presentation from 2004 that Joga Gobburu from the FDA gave, seems like there has been some progression of thought or actions on the proposals included there. Any references to follow-up information on it would be helpful?
>
> Regards ,
>
> Mark Vilicich
> Early Development
> [EMAIL PROTECTED]
Thank you for everyone's insight into this.
The insight into performance considerations is excellent Joachim and
Jun, thank you.
It would be great to hear from you or anyone else with experience
running NONMEM on a VMware environment as we are considering it. Since
we are starting with a very small set of users, it offers the ability to
dedicate greater CPU power and memory to NONMEM as our analytic needs
grow over time.
Regarding validation; requiring proof of reproducible results seems
appropriate and Jeff's mention of developing a level of "confidence in
the performance of a NONMEM installation" alludes to the risk based
approach in my mind and helps guide validation efforts to where the
value is.
How could one generically describe a spectrum of testing levels for
NONMEM based on a spectrum of risk such as-high, medium, low? What would
be the minimum tests done for a base level of confidence versus what
testing is included to support greater confidence (i.e. the high risk
situation) in reproducibility? Do NONMEM's or NMQUAL's standard provided
testing cover that spectrum or just the base level of confidence?
Thanks in advance for your responses,
Mark
Quoted reply history
________________________________
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of [EMAIL PROTECTED]
Sent: Wednesday, October 22, 2008 7:44 AM
To: [email protected]
Subject: Re: [NMusers] Validation Strategy for NONMEM
Dear Jun,
the outside reference used: NONMEM (Version VI) with Wings for NONMEM;
installed using NMQUAL version 6.3.2 (Metrum Institute); Intel Visual
Fortran compiler (Version 10.1 ) or GNU Fortran g77 (Version 3.1 release
20020514); compiler options for Intel Fortran were /nologo /nbs /w
/4Yportlib /Gs /Ob1gyti /Qprec_div. ; compiler options for g77 were
-fno-backslash -O; hardware: Intel Core Duo 7500 2.19GHz processor on an
IBM Thinkpad Model T61 with 1 Gb RAM. The operating system was Windows
XP Professional 2002 Service Pack 3.
We internally used: NONMEM (Version VI,2) PsN (Version 2.2.5) installed
without NMQual; gfortran compiler with option -O ; hardware: HP PROLIANT
DL585 G2 Servers with many cores (speed 2,8 GHz) with 16 Gb RAM and the
LINUX (SUSE Enterprise Edition 10 SP1 64 Bit) operating system with SUN
Grid engine (N1).
We reproduced the reference models well. Speed was equal with ANVAN6
(long runtimes in the hours). But with precompiled models ADVAN4 and
with naked PRED the Intel compiler was sometimes twice as fast (runtimes
< 1 min).
Hope this is helpful for some of you about to make decisions about hard-
and software.
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: [EMAIL PROTECTED]
"Jun Shen" <[EMAIL PROTECTED]>
10/22/2008 04:08 PM
To
[EMAIL PROTECTED]
cc
[email protected]
Subject
Re: [NMusers] Validation Strategy for NONMEM
Dear Joachim,
Can you share some of your findings? What system configuration seems to
be optimal (hardware/OS system, compiler, any aiding software)? Thanks.
Jun
On Wed, Oct 22, 2008 at 1:21 AM, <[EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]> > wrote:
Dear all,
one of the more useful things we did was an exchange of data files and
models with a prominent member of our modeling community. This way we
challenged various aspects of our installation, found some soft spot,
corrected it, and wrote a document that is worth more than the ink and
the paper. Yet again, all we did was assuring that our results match
those of a number of other installations (different compilers, operating
systems, processors). Furthermore, we got an idea of the comparative
speed of our installation. These are useful things to have documented
when you are a system administrator and modeler at the same time.
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: [EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>
"A.J. Rossini" <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]> >
10/21/2008 10:41 PM
To
[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>
cc
[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]> ,
[email protected] <mailto:[email protected]>
Subject
Re: [NMusers] Validation Strategy for NONMEM
There is useless validation, and then there is useful validation. The
latter is about making sure your computational results are
reproducible, the former is about making sure that your documentation
can be photocopied. It's sort of the same thing, if you aren't a
modeler.
Unfortunately, most on this list tend to be modelers.
On Tue, Oct 21, 2008 at 7:37 PM, <[EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]> > wrote:
>
> After reading this, it is no wonder scientific productivity is at an
> all-time low. Imagine if Marie Curie had to qualify her
radium-purifying
> equipment, or if Alexander Fleming had to validate his petri dishes
before
> culturing Penecillium. One day scientists are going to push back
against
> these IT people, who just make busy work for everyone.
>
>
>
> [EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>
> Sent by: [EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>
>
> 21-Oct-2008 03:18
>
>
> To
> [email protected] <mailto:[email protected]>
> cc
> Subject
> Re: [NMusers] Validation Strategy for NONMEM
>
>
>
>
>
> Dear Mark,
>
> I am engaged in this question since the beginning of this year (not
finished
> yet), and I am happy to share some basics of my experiences:
>
> 1. It is important to specify where the data for NONMEM
analysis come
> from. If they come from a GCP source and are already QA-ed when they
arrive
> at the doorstep of NONMEM then your system will only subject to GCP
> regulation. Otherwise, you also have to comply with GLP.
>
> 2. There is no way around what is called here a 'Validation
Plan' and
> a 'Risk Analysis'. These documents will trigger a slate of other
documents
> (in our case here about 15) which describe Installation, Installation
> Validation, Qualification of Users, Modeling Strategy, Review
Processes,
> System Life Cycle Management etc.
>
> 3. We found it useful to differentiate between 'Exploratory
Work' and
> 'Submission Work'.
>
> 4. Before you worry about passing inspection by the FDA, you
need to
> worry about passing inspection of your own company QA officers.
>
> 5. Just installing NONMEM with NMQual does not render you new
system
> 'validated' or 'qualified'. Here my apologies to the excellent folks
at
> Metrum, but for various reasons, we ended up not using NMQual.
>
> 6. You have to know what you are trying to build before you
concern
> yourself about QA processes. A number of separate installations on PCs
> linked to a file server is a different animal from a server-based
> installation with a grid engine.
>
> 7. It all takes more time than you think: make generous budgets
and
> time lines.
>
> I hope I helped more than I confused,
>
> Joachim
>
> __________________________________________
> Joachim GREVEL, Ph.D.
> MERCK SERONO International S.A.
> Exploratory Medicine
> 1202 Geneva
> Tel: +41.22.414.4751
> Fax: +41.22.414.3059
> Email: [EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>
>
>
>
> "Vilicich, Mark" <[EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]> >
> Sent by: [EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>
>
> 10/17/2008 10:08 PM
>
> To
> <[email protected] <mailto:[email protected]> >
> cc
> Subject
> [NMusers] Validation Strategy for NONMEM
>
>
>
>
>
>
> Dear All,
>
> I am interested in perspectives on strategies for "validating" NONMEM.
Also,
> experiences from or with the FDA since the FDA is: a key user,
customer of
> analysis and auditor of NONMEM use in the industry. Without a large
nonmem
> staff here, the challenge I see is in scaling the validation strategy
to
> provide the most efficient environment for doing analysis that is
defensible
> to both internal and external audits based on the associated GxP risk
level.
>
> Below are the concepts I've cobbled together, though instead of my
> reinventing the wheel I appreciate anything you could share. Any and
all
> gems of insight you can share whether it regard the big picture or
some
> detailed specifics, IT centric or business process related. You may
send
> them back to the listserver or me directly as you feel appropriate.
>
> Details:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> From searching the archives and other random bits of knowledge on
NONMEM,
> part of the validation strategy is to recognize that NONMEM is not to
be
> literally validated. NONMEM may be considered more of a development
> environment, optimized for developing specialized forms of complex
analysis
> and modeling. As a development platform, an approach could be that
NONMEM
> itself is qualified and each specific analysis is validated
individually.
>
> To support establishing a defensible NONMEM environment, I've also
read
> discussions on integrating common software development best practices
such
> as version control of the "programming" of nonmem, NMQual and other
> commercial and custom tools for capturing all the metadata related to
> running a specific NONMEM job. These themes support defining the state
of
> the NONMEM environment and ability to reproduce the outcomes.
>
> Also, reading in the archives about the differences in the numeric
outcomes
> of NONMEM analyses based on the hardware platform, etc. are helpful to
know
> up front and to consider in the validation strategy so it is not
destined to
> failure if the target environment is multiplatform or otherwise
complex.
>
> Gaps noticed/topics not discussed:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Is there opportunity in looking at the risk based approached
sanctioned by
> the FDA a few years ago that would make the total validation
deliverable,
> including both the application and the model development process, more
lean
> and targeted at the primary risk targets?
>
> Does this scientific software environment lend itself to use of modern
agile
> software development methodologies that go far beyond basic iterative
> approaches. These methodologies are being used in software development
for
> the regulated/GxP industry.
>
> I've seen the excellent presentation from 2004 that Joga Gobburu from
the
> FDA gave, seems like there has been some progression of thought or
actions
> on the proposals included there. Any references to follow-up
information on
> it would be helpful?
>
> Regards ,
>
> Mark Vilicich
> Early Development
> [EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>
>
> ________________________________
>
> This message and any attachment are confidential, may be privileged or
> otherwise protected from disclosure and are intended only for use by
the
> addressee(s) named herein. If you are not the intended recipient, you
must
> not copy this message or attachment or disclose the contents to any
other
> person. If you have received this transmission in error, please notify
the
> sender immediately and delete the message and any attachment from your
> system.
Dear Mark,
In our risk analysis we had to rank the associated risk. Just to give you
a feel for what we came up with:
Low risk: Reproducibility of results as long as control stream and
data file don't change. Even with the most unstable models, and the
largest data files this risk remains low.
High risk: Model misinterpretation (also misspecification) fall into
that category. For example, you have a series of models which satisfy you
numerically (successful termination, small standard errors of estimation,
acceptable shrinkage, nice goodness of fit, etc.), but the supposed lesson
you learned from the modeling, and the message you project to the world
(outside your modeling group) is either misleading or misunderstood.
Now, how do you deal with this 'high' risk? Measures to minimize that risk
include: training of users, training of your customers, review of modeling
results and conclusions, continued education (which involves also this
user network). Indeed, the NONMEM user network is listed in our risk
analysis as a means to mitigate.
Thank you for your continued interest,
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: joachim.grevel
"Vilicich, Mark" <Mark.Vilicich
Sent by: owner-nmusers
10/23/2008 08:35 PM
To
<nmusers
cc
Subject
RE: [NMusers] Validation Strategy for NONMEM
Thank you for everyone's insight into this.
The insight into performance considerations is excellent Joachim and Jun,
thank you.
It would be great to hear from you or anyone else with experience running
NONMEM on a VMware environment as we are considering it. Since we are
starting with a very small set of users, it offers the ability to dedicate
greater CPU power and memory to NONMEM as our analytic needs grow over
time.
Regarding validation; requiring proof of reproducible results seems
appropriate and Jeff's mention of developing a level of "confidence in the
performance of a NONMEM installation" alludes to the risk based approach
in my mind and helps guide validation efforts to where the value is.
How could one generically describe a spectrum of testing levels for NONMEM
based on a spectrum of risk such as-high, medium, low? What would be the
minimum tests done for a base level of confidence versus what testing is
included to support greater confidence (i.e. the high risk situation) in
reproducibility? Do NONMEM's or NMQUAL's standard provided testing cover
that spectrum or just the base level of confidence?
Thanks in advance for your responses,
Mark
Quoted reply history
From: owner-nmusers
On Behalf Of Joachim.Grevel
Sent: Wednesday, October 22, 2008 7:44 AM
To: nmusers
Subject: Re: [NMusers] Validation Strategy for NONMEM
Dear Jun,
the outside reference used: NONMEM (Version VI) with Wings for NONMEM;
installed using NMQUAL version 6.3.2 (Metrum Institute); Intel Visual
Fortran compiler (Version 10.1 ) or GNU Fortran g77 (Version 3.1 release
20020514); compiler options for Intel Fortran were /nologo /nbs /w
/4Yportlib /Gs /Ob1gyti /Qprec_div. ; compiler options for g77 were
-fno-backslash ?O; hardware: Intel Core Duo 7500 2.19GHz processor on an
IBM Thinkpad Model T61 with 1 Gb RAM. The operating system was Windows XP
Professional 2002 Service Pack 3.
We internally used: NONMEM (Version VI,2) PsN (Version 2.2.5) installed
without NMQual; gfortran compiler with option -O ; hardware: HP PROLIANT
DL585 G2 Servers with many cores (speed 2,8 GHz) with 16 Gb RAM and the
LINUX (SUSE Enterprise Edition 10 SP1 64 Bit) operating system with SUN
Grid engine (N1).
We reproduced the reference models well. Speed was equal with ANVAN6 (long
runtimes in the hours). But with precompiled models ADVAN4 and with naked
PRED the Intel compiler was sometimes twice as fast (runtimes < 1 min).
Hope this is helpful for some of you about to make decisions about hard-
and software.
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: joachim.grevel
"Jun Shen" <jun.shen.ut
10/22/2008 04:08 PM
To
Joachim.Grevel
cc
nmusers
Subject
Re: [NMusers] Validation Strategy for NONMEM
Dear Joachim,
Can you share some of your findings? What system configuration seems to be
optimal (hardware/OS system, compiler, any aiding software)? Thanks.
Jun
On Wed, Oct 22, 2008 at 1:21 AM, <Joachim.Grevel
Dear all,
one of the more useful things we did was an exchange of data files and
models with a prominent member of our modeling community. This way we
challenged various aspects of our installation, found some soft spot,
corrected it, and wrote a document that is worth more than the ink and the
paper. Yet again, all we did was assuring that our results match those of
a number of other installations (different compilers, operating systems,
processors). Furthermore, we got an idea of the comparative speed of our
installation. These are useful things to have documented when you are a
system administrator and modeler at the same time.
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: joachim.grevel
"A.J. Rossini" <blindglobe
10/21/2008 10:41 PM
To
Michael.J.Fossler
cc
Joachim.Grevel
Subject
Re: [NMusers] Validation Strategy for NONMEM
There is useless validation, and then there is useful validation. The
latter is about making sure your computational results are
reproducible, the former is about making sure that your documentation
can be photocopied. It's sort of the same thing, if you aren't a
modeler.
Unfortunately, most on this list tend to be modelers.
On Tue, Oct 21, 2008 at 7:37 PM, <Michael.J.Fossler
>
> After reading this, it is no wonder scientific productivity is at an
> all-time low. Imagine if Marie Curie had to qualify her radium-purifying
> equipment, or if Alexander Fleming had to validate his petri dishes
before
> culturing Penecillium. One day scientists are going to push back against
> these IT people, who just make busy work for everyone.
>
>
>
> Joachim.Grevel
> Sent by: owner-nmusers
>
> 21-Oct-2008 03:18
>
>
> To
> nmusers
> cc
> Subject
> Re: [NMusers] Validation Strategy for NONMEM
>
>
>
>
>
> Dear Mark,
>
> I am engaged in this question since the beginning of this year (not
finished
> yet), and I am happy to share some basics of my experiences:
>
> 1. It is important to specify where the data for NONMEM analysis
come
> from. If they come from a GCP source and are already QA-ed when they
arrive
> at the doorstep of NONMEM then your system will only subject to GCP
> regulation. Otherwise, you also have to comply with GLP.
>
> 2. There is no way around what is called here a 'Validation Plan'
and
> a 'Risk Analysis'. These documents will trigger a slate of other
documents
> (in our case here about 15) which describe Installation, Installation
> Validation, Qualification of Users, Modeling Strategy, Review Processes,
> System Life Cycle Management etc.
>
> 3. We found it useful to differentiate between 'Exploratory Work'
and
> 'Submission Work'.
>
> 4. Before you worry about passing inspection by the FDA, you need
to
> worry about passing inspection of your own company QA officers.
>
> 5. Just installing NONMEM with NMQual does not render you new
system
> 'validated' or 'qualified'. Here my apologies to the excellent folks at
> Metrum, but for various reasons, we ended up not using NMQual.
>
> 6. You have to know what you are trying to build before you
concern
> yourself about QA processes. A number of separate installations on PCs
> linked to a file server is a different animal from a server-based
> installation with a grid engine.
>
> 7. It all takes more time than you think: make generous budgets
and
> time lines.
>
> I hope I helped more than I confused,
>
> Joachim
>
> ________________________
__________________
> Joachim GREVEL, Ph.D.
> MERCK SERONO International S.A.
> Exploratory Medicine
> 1202 Geneva
> Tel: +41.22.414.4751
> Fax: +41.22.414.3059
> Email: joachim.grevel
>
>
>
> "Vilicich, Mark" <Mark.Vilicich
> Sent by: owner-nmusers
>
> 10/17/2008 10:08 PM
>
> To
> <nmusers
> cc
> Subject
> [NMusers] Validation Strategy for NONMEM
>
>
>
>
>
>
> Dear All,
>
> I am interested in perspectives on strategies for "validating" NONMEM.
Also,
> experiences from or with the FDA since the FDA is: a key user, customer
of
> analysis and auditor of NONMEM use in the industry. Without a large
nonmem
> staff here, the challenge I see is in scaling the validation strategy to
> provide the most efficient environment for doing analysis that is
defensible
> to both internal and external audits based on the associated GxP risk
level.
>
> Below are the concepts I've cobbled together, though instead of my
> reinventing the wheel I appreciate anything you could share. Any and all
> gems of insight you can share whether it regard the big picture or some
> detailed specifics, IT centric or business process related. You may send
> them back to the listserver or me directly as you feel appropriate.
>
> Details:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> From searching the archives and other random bits of knowledge on
NONMEM,
> part of the validation strategy is to recognize that NONMEM is not to be
> literally validated. NONMEM may be considered more of a development
> environment, optimized for developing specialized forms of complex
analysis
> and modeling. As a development platform, an approach could be that
NONMEM
> itself is qualified and each specific analysis is validated
individually.
>
> To support establishing a defensible NONMEM environment, I've also read
> discussions on integrating common software development best practices
such
> as version control of the "programming" of nonmem, NMQual and other
> commercial and custom tools for capturing all the metadata related to
> running a specific NONMEM job. These themes support defining the state
of
> the NONMEM environment and ability to reproduce the outcomes.
>
> Also, reading in the archives about the differences in the numeric
outcomes
> of NONMEM analyses based on the hardware platform, etc. are helpful to
know
> up front and to consider in the validation strategy so it is not
destined to
> failure if the target environment is multiplatform or otherwise complex.
>
> Gaps noticed/topics not discussed:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Is there opportunity in looking at the risk based approached sanctioned
by
> the FDA a few years ago that would make the total validation
deliverable,
> including both the application and the model development process, more
lean
> and targeted at the primary risk targets?
>
> Does this scientific software environment lend itself to use of modern
agile
> software development methodologies that go far beyond basic iterative
> approaches. These methodologies are being used in software development
for
> the regulated/GxP industry.
>
> I've seen the excellent presentation from 2004 that Joga Gobburu from
the
> FDA gave, seems like there has been some progression of thought or
actions
> on the proposals included there. Any references to follow-up information
on
> it would be helpful?
>
> Regards ,
>
> Mark Vilicich
> Early Development
> mark.vilicich
>
> ________________________
________
>
> This message and any attachment are confidential, may be privileged or
> otherwise protected from disclosure and are intended only for use by the
> addressee(s) named herein. If you are not the intended recipient, you
must
> not copy this message or attachment or disclose the contents to any
other
> person. If you have received this transmission in error, please notify
the
> sender immediately and delete the message and any attachment from your
> system.
Dear Mark,
In our risk analysis we had to rank the associated risk. Just to give you
a feel for what we came up with:
Low risk: Reproducibility of results as long as control stream and
data file don't change. Even with the most unstable models, and the
largest data files this risk remains low.
High risk: Model misinterpretation (also misspecification) fall into
that category. For example, you have a series of models which satisfy you
numerically (successful termination, small standard errors of estimation,
acceptable shrinkage, nice goodness of fit, etc.), but the supposed lesson
you learned from the modeling, and the message you project to the world
(outside your modeling group) is either misleading or misunderstood.
Now, how do you deal with this 'high' risk? Measures to minimize that risk
include: training of users, training of your customers, review of modeling
results and conclusions, continued education (which involves also this
user network). Indeed, the NONMEM user network is listed in our risk
analysis as a means to mitigate.
Thank you for your continued interest,
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: [EMAIL PROTECTED]
"Vilicich, Mark" <[EMAIL PROTECTED]>
Sent by: [EMAIL PROTECTED]
10/23/2008 08:35 PM
To
<[email protected]>
cc
Subject
RE: [NMusers] Validation Strategy for NONMEM
Thank you for everyone's insight into this.
The insight into performance considerations is excellent Joachim and Jun,
thank you.
It would be great to hear from you or anyone else with experience running
NONMEM on a VMware environment as we are considering it. Since we are
starting with a very small set of users, it offers the ability to dedicate
greater CPU power and memory to NONMEM as our analytic needs grow over
time.
Regarding validation; requiring proof of reproducible results seems
appropriate and Jeff's mention of developing a level of "confidence in the
performance of a NONMEM installation" alludes to the risk based approach
in my mind and helps guide validation efforts to where the value is.
How could one generically describe a spectrum of testing levels for NONMEM
based on a spectrum of risk such as-high, medium, low? What would be the
minimum tests done for a base level of confidence versus what testing is
included to support greater confidence (i.e. the high risk situation) in
reproducibility? Do NONMEM's or NMQUAL's standard provided testing cover
that spectrum or just the base level of confidence?
Thanks in advance for your responses,
Mark
Quoted reply history
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of [EMAIL PROTECTED]
Sent: Wednesday, October 22, 2008 7:44 AM
To: [email protected]
Subject: Re: [NMusers] Validation Strategy for NONMEM
Dear Jun,
the outside reference used: NONMEM (Version VI) with Wings for NONMEM;
installed using NMQUAL version 6.3.2 (Metrum Institute); Intel Visual
Fortran compiler (Version 10.1 ) or GNU Fortran g77 (Version 3.1 release
20020514); compiler options for Intel Fortran were /nologo /nbs /w
/4Yportlib /Gs /Ob1gyti /Qprec_div. ; compiler options for g77 were
-fno-backslash ?O; hardware: Intel Core Duo 7500 2.19GHz processor on an
IBM Thinkpad Model T61 with 1 Gb RAM. The operating system was Windows XP
Professional 2002 Service Pack 3.
We internally used: NONMEM (Version VI,2) PsN (Version 2.2.5) installed
without NMQual; gfortran compiler with option -O ; hardware: HP PROLIANT
DL585 G2 Servers with many cores (speed 2,8 GHz) with 16 Gb RAM and the
LINUX (SUSE Enterprise Edition 10 SP1 64 Bit) operating system with SUN
Grid engine (N1).
We reproduced the reference models well. Speed was equal with ANVAN6 (long
runtimes in the hours). But with precompiled models ADVAN4 and with naked
PRED the Intel compiler was sometimes twice as fast (runtimes < 1 min).
Hope this is helpful for some of you about to make decisions about hard-
and software.
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: [EMAIL PROTECTED]
"Jun Shen" <[EMAIL PROTECTED]>
10/22/2008 04:08 PM
To
[EMAIL PROTECTED]
cc
[email protected]
Subject
Re: [NMusers] Validation Strategy for NONMEM
Dear Joachim,
Can you share some of your findings? What system configuration seems to be
optimal (hardware/OS system, compiler, any aiding software)? Thanks.
Jun
On Wed, Oct 22, 2008 at 1:21 AM, <[EMAIL PROTECTED]> wrote:
Dear all,
one of the more useful things we did was an exchange of data files and
models with a prominent member of our modeling community. This way we
challenged various aspects of our installation, found some soft spot,
corrected it, and wrote a document that is worth more than the ink and the
paper. Yet again, all we did was assuring that our results match those of
a number of other installations (different compilers, operating systems,
processors). Furthermore, we got an idea of the comparative speed of our
installation. These are useful things to have documented when you are a
system administrator and modeler at the same time.
Joachim
__________________________________________
Joachim GREVEL, Ph.D.
MERCK SERONO International S.A.
Exploratory Medicine
1202 Geneva
Tel: +41.22.414.4751
Fax: +41.22.414.3059
Email: [EMAIL PROTECTED]
"A.J. Rossini" <[EMAIL PROTECTED]>
10/21/2008 10:41 PM
To
[EMAIL PROTECTED]
cc
[EMAIL PROTECTED], [email protected]
Subject
Re: [NMusers] Validation Strategy for NONMEM
There is useless validation, and then there is useful validation. The
latter is about making sure your computational results are
reproducible, the former is about making sure that your documentation
can be photocopied. It's sort of the same thing, if you aren't a
modeler.
Unfortunately, most on this list tend to be modelers.
On Tue, Oct 21, 2008 at 7:37 PM, <[EMAIL PROTECTED]> wrote:
>
> After reading this, it is no wonder scientific productivity is at an
> all-time low. Imagine if Marie Curie had to qualify her radium-purifying
> equipment, or if Alexander Fleming had to validate his petri dishes
before
> culturing Penecillium. One day scientists are going to push back against
> these IT people, who just make busy work for everyone.
>
>
>
> [EMAIL PROTECTED]
> Sent by: [EMAIL PROTECTED]
>
> 21-Oct-2008 03:18
>
>
> To
> [email protected]
> cc
> Subject
> Re: [NMusers] Validation Strategy for NONMEM
>
>
>
>
>
> Dear Mark,
>
> I am engaged in this question since the beginning of this year (not
finished
> yet), and I am happy to share some basics of my experiences:
>
> 1. It is important to specify where the data for NONMEM analysis
come
> from. If they come from a GCP source and are already QA-ed when they
arrive
> at the doorstep of NONMEM then your system will only subject to GCP
> regulation. Otherwise, you also have to comply with GLP.
>
> 2. There is no way around what is called here a 'Validation Plan'
and
> a 'Risk Analysis'. These documents will trigger a slate of other
documents
> (in our case here about 15) which describe Installation, Installation
> Validation, Qualification of Users, Modeling Strategy, Review Processes,
> System Life Cycle Management etc.
>
> 3. We found it useful to differentiate between 'Exploratory Work'
and
> 'Submission Work'.
>
> 4. Before you worry about passing inspection by the FDA, you need
to
> worry about passing inspection of your own company QA officers.
>
> 5. Just installing NONMEM with NMQual does not render you new
system
> 'validated' or 'qualified'. Here my apologies to the excellent folks at
> Metrum, but for various reasons, we ended up not using NMQual.
>
> 6. You have to know what you are trying to build before you
concern
> yourself about QA processes. A number of separate installations on PCs
> linked to a file server is a different animal from a server-based
> installation with a grid engine.
>
> 7. It all takes more time than you think: make generous budgets
and
> time lines.
>
> I hope I helped more than I confused,
>
> Joachim
>
> __________________________________________
> Joachim GREVEL, Ph.D.
> MERCK SERONO International S.A.
> Exploratory Medicine
> 1202 Geneva
> Tel: +41.22.414.4751
> Fax: +41.22.414.3059
> Email: [EMAIL PROTECTED]
>
>
>
> "Vilicich, Mark" <[EMAIL PROTECTED]>
> Sent by: [EMAIL PROTECTED]
>
> 10/17/2008 10:08 PM
>
> To
> <[email protected]>
> cc
> Subject
> [NMusers] Validation Strategy for NONMEM
>
>
>
>
>
>
> Dear All,
>
> I am interested in perspectives on strategies for "validating" NONMEM.
Also,
> experiences from or with the FDA since the FDA is: a key user, customer
of
> analysis and auditor of NONMEM use in the industry. Without a large
nonmem
> staff here, the challenge I see is in scaling the validation strategy to
> provide the most efficient environment for doing analysis that is
defensible
> to both internal and external audits based on the associated GxP risk
level.
>
> Below are the concepts I've cobbled together, though instead of my
> reinventing the wheel I appreciate anything you could share. Any and all
> gems of insight you can share whether it regard the big picture or some
> detailed specifics, IT centric or business process related. You may send
> them back to the listserver or me directly as you feel appropriate.
>
> Details:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> From searching the archives and other random bits of knowledge on
NONMEM,
> part of the validation strategy is to recognize that NONMEM is not to be
> literally validated. NONMEM may be considered more of a development
> environment, optimized for developing specialized forms of complex
analysis
> and modeling. As a development platform, an approach could be that
NONMEM
> itself is qualified and each specific analysis is validated
individually.
>
> To support establishing a defensible NONMEM environment, I've also read
> discussions on integrating common software development best practices
such
> as version control of the "programming" of nonmem, NMQual and other
> commercial and custom tools for capturing all the metadata related to
> running a specific NONMEM job. These themes support defining the state
of
> the NONMEM environment and ability to reproduce the outcomes.
>
> Also, reading in the archives about the differences in the numeric
outcomes
> of NONMEM analyses based on the hardware platform, etc. are helpful to
know
> up front and to consider in the validation strategy so it is not
destined to
> failure if the target environment is multiplatform or otherwise complex.
>
> Gaps noticed/topics not discussed:
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Is there opportunity in looking at the risk based approached sanctioned
by
> the FDA a few years ago that would make the total validation
deliverable,
> including both the application and the model development process, more
lean
> and targeted at the primary risk targets?
>
> Does this scientific software environment lend itself to use of modern
agile
> software development methodologies that go far beyond basic iterative
> approaches. These methodologies are being used in software development
for
> the regulated/GxP industry.
>
> I've seen the excellent presentation from 2004 that Joga Gobburu from
the
> FDA gave, seems like there has been some progression of thought or
actions
> on the proposals included there. Any references to follow-up information
on
> it would be helpful?
>
> Regards ,
>
> Mark Vilicich
> Early Development
> [EMAIL PROTECTED]
>
> ________________________________
>
> This message and any attachment are confidential, may be privileged or
> otherwise protected from disclosure and are intended only for use by the
> addressee(s) named herein. If you are not the intended recipient, you
must
> not copy this message or attachment or disclose the contents to any
other
> person. If you have received this transmission in error, please notify
the
> sender immediately and delete the message and any attachment from your
> system.
Nick -
Unfortunately, correctness of results is outside of "validation".
Validation is basically IT qualification of software/systems, combined
with business processes which should ensure that best practices are
followed (modelers appropriately trained, "best practices" for use of
NONMEM implementeed, appropriate review (VPC/etc) of modeling results)
and related to computational reproducibility (if I do this on a
similarly configured machine with a similiarly configured human, I
should get the same results, "similar" being acceptable in most
cases).
Scientific best practices are attempted to be incorporated, but it's
difficult to proceduralize the art form of data analysis. More
importantly, it would be rather inefficient to have a
cookbook-approach which does provide "best practices" -- such a
cookbook would slow down modeling to a crawl (along with the
requirements for a process to describe how to use it).
So most groups punt on the notion of "validation of data analysis for
correct analysis results", and consider "validation of data analysis
for correct reproduction of the results". The latter is feasible,
the former might be impossible to proceduralize (and besides, if we
could, this list would be far less interesting and controversial :-).
best,
-tony
Quoted reply history
On Tue, Oct 21, 2008 at 11:11 PM, Nick Holford <[EMAIL PROTECTED]> wrote:
> Tony,
>
> To expand a bit on your useful validation definition.
>
> Making sure computational results are reproducible does not mean they are
> correct. I believe that most NONMEM analyses cannot be proven to be correct
> therefore the validation efforts only assure reproducibility. Whether this
> makes the validation useful or useless is debatable.
>
> Nick
>
>
>
> A.J. Rossini wrote:
>>
>> There is useless validation, and then there is useful validation. The
>> latter is about making sure your computational results are
>> reproducible, the former is about making sure that your documentation
>> can be photocopied. It's sort of the same thing, if you aren't a
>> modeler.
>>
>> Unfortunately, most on this list tend to be modelers.
>>
>> On Tue, Oct 21, 2008 at 7:37 PM, <[EMAIL PROTECTED]> wrote:
>>
>>>
>>> After reading this, it is no wonder scientific productivity is at an
>>> all-time low. Imagine if Marie Curie had to qualify her radium-purifying
>>> equipment, or if Alexander Fleming had to validate his petri dishes
>>> before
>>> culturing Penecillium. One day scientists are going to push back against
>>> these IT people, who just make busy work for everyone.
>>>
>>>
>>>
>>> [EMAIL PROTECTED]
>>> Sent by: [EMAIL PROTECTED]
>>>
>>> 21-Oct-2008 03:18
>>>
>>>
>>> To
>>> [email protected]
>>> cc
>>> Subject
>>> Re: [NMusers] Validation Strategy for NONMEM
>>>
>>>
>>>
>>>
>>>
>>> Dear Mark,
>>>
>>> I am engaged in this question since the beginning of this year (not
>>> finished
>>> yet), and I am happy to share some basics of my experiences:
>>>
>>> 1. It is important to specify where the data for NONMEM analysis
>>> come
>>> from. If they come from a GCP source and are already QA-ed when they
>>> arrive
>>> at the doorstep of NONMEM then your system will only subject to GCP
>>> regulation. Otherwise, you also have to comply with GLP.
>>>
>>> 2. There is no way around what is called here a 'Validation Plan'
>>> and
>>> a 'Risk Analysis'. These documents will trigger a slate of other
>>> documents
>>> (in our case here about 15) which describe Installation, Installation
>>> Validation, Qualification of Users, Modeling Strategy, Review Processes,
>>> System Life Cycle Management etc.
>>>
>>> 3. We found it useful to differentiate between 'Exploratory Work'
>>> and
>>> 'Submission Work'.
>>>
>>> 4. Before you worry about passing inspection by the FDA, you need
>>> to
>>> worry about passing inspection of your own company QA officers.
>>>
>>> 5. Just installing NONMEM with NMQual does not render you new
>>> system
>>> 'validated' or 'qualified'. Here my apologies to the excellent folks at
>>> Metrum, but for various reasons, we ended up not using NMQual.
>>>
>>> 6. You have to know what you are trying to build before you
>>> concern
>>> yourself about QA processes. A number of separate installations on PCs
>>> linked to a file server is a different animal from a server-based
>>> installation with a grid engine.
>>>
>>> 7. It all takes more time than you think: make generous budgets
>>> and
>>> time lines.
>>>
>>> I hope I helped more than I confused,
>>>
>>> Joachim
>>>
>>> __________________________________________
>>> Joachim GREVEL, Ph.D.
>>> MERCK SERONO International S.A.
>>> Exploratory Medicine
>>> 1202 Geneva
>>> Tel: +41.22.414.4751
>>> Fax: +41.22.414.3059
>>> Email: [EMAIL PROTECTED]
>>>
>>>
>>>
>>> "Vilicich, Mark" <[EMAIL PROTECTED]>
>>> Sent by: [EMAIL PROTECTED]
>>>
>>> 10/17/2008 10:08 PM
>>>
>>> To
>>> <[email protected]>
>>> cc
>>> Subject
>>> [NMusers] Validation Strategy for NONMEM
>>>
>>>
>>>
>>>
>>>
>>>
>>> Dear All,
>>>
>>> I am interested in perspectives on strategies for "validating" NONMEM.
>>> Also,
>>> experiences from or with the FDA since the FDA is: a key user, customer
>>> of
>>> analysis and auditor of NONMEM use in the industry. Without a large
>>> nonmem
>>> staff here, the challenge I see is in scaling the validation strategy to
>>> provide the most efficient environment for doing analysis that is
>>> defensible
>>> to both internal and external audits based on the associated GxP risk
>>> level.
>>>
>>> Below are the concepts I've cobbled together, though instead of my
>>> reinventing the wheel I appreciate anything you could share. Any and all
>>> gems of insight you can share whether it regard the big picture or some
>>> detailed specifics, IT centric or business process related. You may send
>>> them back to the listserver or me directly as you feel appropriate.
>>>
>>> Details:
>>> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
>>> From searching the archives and other random bits of knowledge on NONMEM,
>>> part of the validation strategy is to recognize that NONMEM is not to be
>>> literally validated. NONMEM may be considered more of a development
>>> environment, optimized for developing specialized forms of complex
>>> analysis
>>> and modeling. As a development platform, an approach could be that NONMEM
>>> itself is qualified and each specific analysis is validated individually.
>>>
>>> To support establishing a defensible NONMEM environment, I've also read
>>> discussions on integrating common software development best practices
>>> such
>>> as version control of the "programming" of nonmem, NMQual and other
>>> commercial and custom tools for capturing all the metadata related to
>>> running a specific NONMEM job. These themes support defining the state of
>>> the NONMEM environment and ability to reproduce the outcomes.
>>>
>>> Also, reading in the archives about the differences in the numeric
>>> outcomes
>>> of NONMEM analyses based on the hardware platform, etc. are helpful to
>>> know
>>> up front and to consider in the validation strategy so it is not destined
>>> to
>>> failure if the target environment is multiplatform or otherwise complex.
>>>
>>> Gaps noticed/topics not discussed:
>>> ~~~~~~~~~~~~~~~~~~~~~~~~~~~
>>> Is there opportunity in looking at the risk based approached sanctioned
>>> by
>>> the FDA a few years ago that would make the total validation deliverable,
>>> including both the application and the model development process, more
>>> lean
>>> and targeted at the primary risk targets?
>>>
>>> Does this scientific software environment lend itself to use of modern
>>> agile
>>> software development methodologies that go far beyond basic iterative
>>> approaches. These methodologies are being used in software development
>>> for
>>> the regulated/GxP industry.
>>>
>>> I've seen the excellent presentation from 2004 that Joga Gobburu from the
>>> FDA gave, seems like there has been some progression of thought or
>>> actions
>>> on the proposals included there. Any references to follow-up information
>>> on
>>> it would be helpful?
>>>
>>> Regards ,
>>>
>>> Mark Vilicich
>>> Early Development
>>> [EMAIL PROTECTED]
>>>
>>> ________________________________
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