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> modeling<strong>BUGS</strong> language MCMC programs<strong>BUGS</strong> language MCMC programsWin<strong>BUGS</strong> 1.4.3Uses Gibbs sampling with sampling from the conditionaldistributions according to:Continuous distributionsConjugateDirect sampling using st<strong>and</strong>ard algorithmsLog-concave Derivative-free adaptive rejection samplingRestricted range Slice samplingUnrestricted range MetropolisDiscrete distributionsFinite upper bound InversionShifted Poisson Direct sampling using st<strong>and</strong>ard algorithmsFrom D Spiegelhalter, A Thomas, N Best, D Lunn. Win<strong>BUGS</strong> User Manual.Version 1.4 (2003).Open<strong>BUGS</strong> 3.0.5JAGSc○2009 Metrum Institute <strong>Bayesian</strong> <strong>Modeling</strong> <strong>Using</strong> <strong>BUGS</strong> AAPS 2009 9 / 26
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