RE: 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
Quoted reply history
-----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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