RE: Using evid 0 before dosing
Hi all
In theory a sample that has an expected concentration=0 and if you using an
additive error then this sample will provide information about \sigma_add.
However, this will only be the case if the assay result is reported exactly as
is (which would allow negative observations). However, since this is generally
not the case (i.e. the assay result is not reported exactly) then I agree it
will not provide useful information to the estimation process.
Cheers
Steve
………………………………………………………………………………………………………………………..……………………..………………………………………
Stephen
http://www.otago.ac.nz/pharmacy/people/profile/index.html?id=350 I
Professor of Clinical Pharmacy
Otago Pharmacometrics Group
School of Pharmacy | Te Kura Mātauraka Wai-whakaora
University of Otago | Te Whare Wānanga o Otāgo
Dunedin | Ōtepoti
Ph: 64 3 479 5099
Website | http://www.pharmacometrics.co.nz/
Quoted reply history
From: [email protected] <[email protected]> On Behalf Of
Dennis Fisher
Sent: Thursday, 7 November 2019 5:45 a.m.
To: Mark Sale <[email protected]>
Cc: [email protected]
Subject: Re: [NMusers] Using evid 0 before dosing
Mark
I disagree (more than a little). If a sample is reported as BQL and the
expected value is 0 (i.e., pre-dose, not endogenous), what information is there
about assay precision. If the error model is additive (or additive +
proportional), the sample will contribute zero to the objective function. If
the error model is proportional, NONMEM will report an error (0/0). I agree
that pre-dose samples > LOQ provide IMPORTANT information about assay precision.
Were you evacuated during the fires?
Dennis
Dennis Fisher MD
P < (The "P Less Than" Company)
Phone / Fax: 1-866-PLessThan (1-866-753-7784)
www.plessthan.com%2F&data=02%7C01%7Cstephen.duffull%40otago.ac.nz%7Cbacc42042d8942312bc608d762d97d4a%7C0225efc578fe4928b1579ef24809e9ba%7C1%7C0%7C637086558625087255&sdata=7yYTKHuQtvfdvaXYpZZBuRCO%2FaGLgYYmWy3sWhAdXEc%3D&reserved=0">https://apc01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.plessthan.com%2F&data=02%7C01%7Cstephen.duffull%40otago.ac.nz%7Cbacc42042d8942312bc608d762d97d4a%7C0225efc578fe4928b1579ef24809e9ba%7C1%7C0%7C637086558625087255&sdata=7yYTKHuQtvfdvaXYpZZBuRCO%2FaGLgYYmWy3sWhAdXEc%3D&reserved=0
On Nov 6, 2019, at 8:40 AM, Mark Sale
<[email protected]<mailto:[email protected]>> wrote:
Dennis,
I may have to disagree, a little. There is information, a little, in a pre dose
BQL, about assay precision. I think you might agree that is a pre dose sample
is NOT BQL (which happens), tells you (and NONMEM) something about the assay.
Converse, even a BQL predose sample has a small amount of information.
That not withstanding, we also remove and pre-dose BQLs from the data set.
Mark Sale M.D.
Senior Vice President, Pharmacometrics
Nuventra Inc.
2525 Meridian Parkway, Suite 200
Durham, NC 27713
Phone (919)-973-0383
[email protected]<x-msg://138/[email protected]>
CONFIDENTIALITY NOTICE The information in this transmittal (including
attachments, if any) may be privileged and confidential and is intended only
for the recipient(s) listed above. Any review, use, disclosure, distribution or
copying of this transmittal, in any form, is prohibited except by or on behalf
of the intended recipient(s). If you have received this transmittal in error,
please notify me immediately by reply email and destroy all copies of the
transmittal.
________________________________
From: [email protected]<mailto:[email protected]>
<[email protected]<mailto:[email protected]>> on behalf
of Dennis Fisher <[email protected]<mailto:[email protected]>>
Sent: Wednesday, November 6, 2019 7:23 AM
To: [email protected]<mailto:[email protected]>
<[email protected]<mailto:[email protected]>>; Bill Denney
<[email protected]<mailto:[email protected]>>
Cc: Carlos ST <[email protected]<mailto:[email protected]>>;
Steven Shafer <[email protected]<mailto:[email protected]>>
Subject: Re: [NMusers] Using evid 0 before dosing
WARNING: This email originated from outside of the company. Do not click links
or open attachments unless you recognize the sender and are expecting the
message.
Bill
I think that the issue is more complicated than you acknowledge.
Assuming that the drug is not an endogenous substance, the pre-dose
concentration is likely to be BQL. However, there are two kinds of BQL values:
1. Samples that are truly zero because they were obtained pre-dose
2. Samples that are > 0 but < LOQ.
Yet both are reported as BQL.
>From my perspective, a BQL value pre-dose provides no information to NONMEM.
>Therefore, one should apply EVID=2 to that sample. This allows a prediction
>at that timepoint but the sample does not influence the analysis.
Dennis
Dennis Fisher MD
P < (The "P Less Than" Company)
Phone / Fax: 1-866-PLessThan (1-866-753-7784)
www.plessthan.com%2F&data=02%7C01%7Cstephen.duffull%40otago.ac.nz%7Cbacc42042d8942312bc608d762d97d4a%7C0225efc578fe4928b1579ef24809e9ba%7C1%7C0%7C637086558625087255&sdata=7yYTKHuQtvfdvaXYpZZBuRCO%2FaGLgYYmWy3sWhAdXEc%3D&reserved=0">https://apc01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.plessthan.com%2F&data=02%7C01%7Cstephen.duffull%40otago.ac.nz%7Cbacc42042d8942312bc608d762d97d4a%7C0225efc578fe4928b1579ef24809e9ba%7C1%7C0%7C637086558625087255&sdata=7yYTKHuQtvfdvaXYpZZBuRCO%2FaGLgYYmWy3sWhAdXEc%3D&reserved=0
On Nov 6, 2019, at 7:12 AM, Bill Denney
<[email protected]<mailto:[email protected]>> wrote:
Hi Carlos,
It is commonly used. For most datasets, there will be at least one
observation that occurs before dosing to estimate the baseline value, and in
almost every scenario, the modeling dataset should mirror the real world
actions. So, there is no issue with it, and usually you will have an EVID=0
before the first dose.
Thanks,
Bill
-----Original Message-----
From: [email protected]<mailto:[email protected]>
<[email protected]<mailto:[email protected]>> On Behalf
Of Carlos ST
Sent: Wednesday, November 6, 2019 10:03 AM
To: [email protected]<mailto:[email protected]>
Subject: [NMusers] Using evid 0 before dosing
Dear NMUsers,
I would like advice in the best practice to use evid 0 before dosing, which
is to say an observation just before a dosing (*to estimate the value in
that compartment just before dosing event).
Thank you,
Carlos,