Pros and Cons of Bayesian Pharmacometric Modeling Using BUGS

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BUGSModelLibraryUser-programmed modelsComponent Pascal code for general ODE modelPROCEDURE UserDerivatives(IN theta, x: ARRAY OF REAL;numEq: INTEGER; t: REAL; OUT dxdt: ARRAY OF REAL) ;VARCL, Q, V2, V3, ka, kout, yeff0, EC50, k10, k12, k21, conc: REAL;BEGINCL := theta[0]; Q := theta[1]; V2 := theta[2];V3 := theta[3]; ka := theta[4];kout := theta[5]; yeff0 := theta[6]; EC50 := theta[7];k10 := CL/V2; k12 := Q/V2; k21 := Q/V3;(∗ ODE’s excluding piecewise constant ∗)(∗ input rates in the data set ∗)dxdt[0] := -ka * x[0];dxdt[1] := ka * x[0] - (k10 + k12) * x[1] + k21 * x[2];dxdt[2] := k12 * x[1] - k21 * x[2];conc := x[1]/V2;dxdt[3] := kout * (yeff0 - (1 - conc/(EC50+conc))*(x[3]+yeff0))END UserDerivatives;c○2009 Metrum Institute Bayesian Modeling Using BUGS AAPS 2009 21 / 26
BUGSModelLibraryDevelopment plansBUGSModelLibrary development plansMore built-in modelsPort to OpenBUGSTool to simplify and automate specification and compiling ofuser-programmed modelsRefining program architecture and efficiencyMore extensive testingc○2009 Metrum Institute Bayesian Modeling Using BUGS AAPS 2009 22 / 26
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Pros and Cons of Bayesian Pharmacometric Modeling Using BUGS

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