Impact of sample size on the performance of multiple-model pharmacokinetic simulations

Monte Carlo simulations are increasingly used to predict pharmacokinetic variability of antimicrobials in a population. We investigated the sample size necessary to provide robust pharmacokinetic predictions. To obtain reasonably robust predictions, a nonparametric model derived from a sample population size of >= 50 appears to be necessary as the input information.