Ana,
I call this process fixed effect (or deterministic) model qualification.
I code complex models using Berkeley Madonna then run NONMEM without any
$EST or $SIM records. The NONMEM PRED values should agree with the
Berkeley Madonna predictions if your structural model is coded the same
way in both systems.
Best wishes,
Nick
On 20-Jan-16 11:14, Ana Miranda Bastos wrote:
Hi,
I have a complex model with manually coded ODEs and multiple
compartments. VPC etc seem ok but simulation results are getting a bit
weird.
I'd like to find out what people use to ensure that the NONMEM code
written really represents the set of ODEs written on paper. Just to
clarify, this is just to make sure the NONMEM instructions are
actually a correct representation of the mathematical description of
the model, not if the model is a correct representation of the biology
at this stage.
This problem is not so obvious when you use the built-in macros but
once the model grows complex, and has a lot manual inputs, it is more
likely that a bug creeps in.
I'm looking for something more stringent than a code review by a peer.
Thank you advance for your time and attention,
Ana
------------------------------------------
Ana Bastos, Pharm, MSc, PhD student
Pharmacologie cellulaire et moléculaire
(Cellular and Molecular Pharmacology Unit)
Louvain Drug Research Institute
Université catholique de Louvain (Catholic University of Louvain)
UCL 7370 avenue E. Mounier 73
1200 Bruxelles, Belgique
--
Nick Holford, Professor Clinical Pharmacology
Dept Pharmacology & Clinical Pharmacology, Bldg 503 Room 302A
University of Auckland,85 Park Rd,Private Bag 92019,Auckland,New Zealand
office:+64(9)923-6730 mobile:NZ+64(21)46 23 53
email: [email protected]
http://holford.fmhs.auckland.ac.nz/
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- tests of assumptions and predictions. Journal of Pharmacology & Clinical
Toxicology. 2014;2(2):1023-34.
Holford N. Clinical pharmacology = disease progression + drug action. Br J Clin
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