Pros and Cons of Bayesian Pharmacometric Modeling Using BUGS

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Pros and consWhy Bayesian modeling?of Bayesian modelingAbility to combine prior knowledge with new datain a manner that appropriately accounts foruncertainty in the prior informationFully Bayesian treatment of uncertainty in parameters andpredictionsInferences about parameters and predictions easily expressed interms of the posterior distributionsNo series or linear approximations of the likelihood functionImproved estimation performanceParticularly for generalized hierarchical models, e.g, models forcategorical datac○2009 Metrum Institute Bayesian Modeling Using BUGS AAPS 2009 23 / 26
Pros and consof Bayesian modelingWhy not Bayesian modeling?Computation timeAdditional work required to specify and assess sensitivity to priordistributions.Learning time.c○2009 Metrum Institute Bayesian Modeling Using BUGS AAPS 2009 24 / 26
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Pros and Cons of Bayesian Pharmacometric Modeling Using BUGS

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