Pros and Cons of Bayesian Pharmacometric Modeling Using BUGS

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Bayesian modelingBayesian modelingTwo distinguishing core notionsThe two core notions that distinguish Bayesian analysis are:1 Unknown quantities are represented as probability distributions,and2 A formal mechanism exists for combining prior knowledge andnew data.(1) provides for rigorous quantitative description of uncertainty inmodel parameters and predictions.(2) permits inferences that consider both prior knowledge and newdata.c○2009 Metrum Institute Bayesian Modeling Using BUGS AAPS 2009 2 / 26
Bayesian modelingTwo distinguishing core notionsBasic elements of Baysian inferenceJust as with maximum likelihood methods, we begin with a modeldescribing the relationship between the data y and theunknown-valued parameters θ — a likelihood function p (y|θ).c○2009 Metrum Institute Bayesian Modeling Using BUGS AAPS 2009 3 / 26
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Pros and Cons of Bayesian Pharmacometric Modeling Using BUGS

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