RE: NONMEM vs WinNonlin
Bernard, I feel I should add to Chris's comments that with the release of the
Phoenix platform, not only did we vastly update and improve the general
WinNonlin environment and provide via the Connect license options to visually
link and manage NONMEM, R, PsN, Xpose etc. in a refreshable and "template-able"
workflow.
We also implemented NLME in the Phoenix model engine, which gives you a very
convenient GUI to access a range of algorithms, FOCE-ELS, FOCE-LB, Laplacian,
IT2S-EM, and QRPEM, as well as set up various Scenarios to assess covariates
etc.; if you will be at PAGE please consider attending one of our workshops
Categorical responses with Phoenix NLME 10-11 June, before PAGE, Glasgow, UK
Or the free Connect Workshop session on Tuesday afternoon 11 June; register
through the links here if you're interested;
http://www.pharsight.com/training/training_upcoming.php
Best regards,
Simon.
___________________________________
[email protected]
Senior Scientific Consultant, Pharsight- A CertaraT Company
March 2012 Phoenix 6.3, including the new QRPEM algorithm for NLME released.
January 2013 Reporter object for Phoenix 6.3.1 Connect released.
Get tips and discuss Pharsight products with other users;
www.pharsight.com/extranet
___________________________________
http://www.pharsight.com/training/training_upcoming.php
Introduction to Phoenix WinNonlin 25-27 June London, UK
Intermediate PK/PD Modelling with Phoenix WinNonlin 25-28 Jun, Amsterdam, NL.
Population Modeling Methodology using Phoenix NLME 24-26 September ,
Copenhagen, Denmark
Quoted reply history
-----Original Message-----
From: [email protected] [mailto:[email protected]] On
Behalf Of Chris Campbell
Sent: Wednesday, April 17, 2013 10:04 AM
To: Bernard Ngara
Cc: nmusers
Subject: RE: [NMusers] NONMEM vs WinNonlin
Dear Bernard
NONMEM is command line software for mixed effects modelling, and is commonly
used for multiple subject compartmental modelling. There are eight different
minimization algorithms that you can use, individually or together. You can
usually iterate through model versions, changing initial conditions, boundary
conditions, error structure, etc. to achieve convergence. With this tool you
should be able to estimate some population parameters where sparse data is
available for multiple subjects. Some people prefer to use NONMEM in
conjunction with a third party graphical tool, such as Navigator, that includes
a menu system, visualization utilities and audit tools.
Pheonix WinNonlin is best known for its non-compartmental modelling, but also
allows single subject compartmental PKPD modelling. For sparse data it is
possible that even the simplest models will not converge. Also note that you
are calculating individual rather than population parameters. Pheonix NLME has
more similar functionality to NONMEM. The Pheonix products are built around a
graphical interface. You may also be interested in looking at Monolix, which is
another mixed effects modelling application.
Best wishes
Chris
Chris Campbell
Tel. +44 (0) 1249 705 450 | Mobile. +44 (0) 7929 628 349
[email protected] | http://www.mango-solutions.com Mango Solutions,
2 Methuen Park, Chippenham, Wiltshire, SN14 OGB UK
-----Original Message-----
From: [email protected] [mailto:[email protected]] On
Behalf Of Bernard Ngara
Sent: 12 April 2013 15:49
To: nmusers
Subject: [NMusers] NONMEM vs WinNonlin
Dear all
What are the major similarities and dissimilarities between NONMEM and
WinNonlin in modeling sparse dataset.
Bernard
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