Pros and Cons of Bayesian Pharmacometric Modeling Using BUGS
Pros and Cons of Bayesian Pharmacometric Modeling Using BUGS
Pros and Cons of Bayesian Pharmacometric Modeling Using BUGS
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Computational tools/methods for <strong>Bayesian</strong> modelingComputer programs implementing <strong>Bayesian</strong> MCMCComputer programs implementing <strong>Bayesian</strong> MCMCMCMC methods for <strong>Bayesian</strong> modeling have been addedrecently to some existing pharmacometric tools, e.g.,NONMEM VIIS-AdaptAdvantagesPK/PD model libraries <strong>and</strong> model-specification languagesMCMC <strong>and</strong> less computationally-dem<strong>and</strong>ing algorithms within asingle platformDisadvantagesLimited stochastic model structure2 levels <strong>of</strong> r<strong>and</strong>om variation + prior distributionsVery limited choice <strong>of</strong> distributions: normal for IIV, normal-Wishart forpriorc○2009 Metrum Institute <strong>Bayesian</strong> <strong>Modeling</strong> <strong>Using</strong> <strong>BUGS</strong> AAPS 2009 6 / 26
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