A Drug-Drug Interaction Parameter Estimation Problem

A two drug interaction is usually predicted by individual drug
pharmacokinetic.  An innovative drug-drug interaction prediction method
based on a three-level hierarchical Bayesian meta-analysis model is
developed that includes a Monte Carlo Markov chain pharmacokinetic
parameter estimation procedure. Underlying the parameter estimation
procedure is a fast integration method of the stiff pharmacokinetic
equations.  In this presentation, we discuss briefly the drug-drug
interaction parameter estimation problem and report results of a fast
integration method and its comparison with standard stiff solvers.