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
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
<strong>BUGS</strong>ModelLibraryBuilt-in models<strong>BUGS</strong> model using a built-in <strong>BUGS</strong>ModelLibrary functionplasma concentration1201008060402005004003002001000●●●● ● ● ●●●●●●●●●●●●●●●● ● ● ●● ●●●●● ●●5 mg●●●●●●●●●●●●● ● ● ●●●●●20 mg●●●●●●●●● ●●●●●● ●●●●●●● ●●●●●●●● ●●●●● ●●●● ● ● ● ● ●●● ● ●●●0 5 10 15 200 5 10 15 20time (h)Posterior median <strong>and</strong> 95% posterior prediction25020015010050010008006004002000●●●10 mg●●●●● ● ●●● ●●●●●●●●●●●● ●●●●●●●●●●●●●● ● ● ● ● ●● ● ●●●●●●●●●●●●●● ●●●●●● ●● ● ●●●●●●●●● ●●●●●●interval overlayed on observed data40 mg●●●●●●●●●● ●● ● ● ●●●● ●●●●Simulation-baseddiagnostics, e.g.,posterior-predictivechecking, may be done aspart <strong>of</strong> the fitting.Separate simulation orboot-strapping steps arenot necessary.c○2009 Metrum Institute <strong>Bayesian</strong> <strong>Modeling</strong> <strong>Using</strong> <strong>BUGS</strong> AAPS 2009 18 / 26
Change language