13.07.2015 Views

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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<strong>Pros</strong> <strong>and</strong> cons<strong>of</strong> <strong>BUGS</strong><strong>Pros</strong> <strong>and</strong> cons <strong>of</strong> <strong>BUGS</strong><strong>Pros</strong>Much more flexible stochastic structureNo restriction on number <strong>of</strong> levels <strong>of</strong> r<strong>and</strong>om effectsMany built-in distribution functions plus ability to add moreEasier to combine models for multiple types <strong>of</strong> data, e.g.:Individual patient data + summary dataPreclinical + clinical data<strong>Cons</strong>Availability <strong>of</strong> pharmacometrics modeling tools, e.g.,<strong>BUGS</strong>ModelLibrary.Lack <strong>of</strong> less computationally-dem<strong>and</strong>ing methods within the sameplatform to support exploratory modeling, e.g., estimation <strong>of</strong>posterior modes.Component Pascal programming required for development <strong>of</strong>more complex structural models.c○2009 Metrum Institute <strong>Bayesian</strong> <strong>Modeling</strong> <strong>Using</strong> <strong>BUGS</strong> AAPS 2009 25 / 26

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