Impact of sample size on the performance of multiple-model pharmacokinetic simulations
- PMID: 16954312
- PMCID: PMC1635223
- DOI: 10.1128/AAC.00337-06
Impact of sample size on the performance of multiple-model pharmacokinetic simulations
Abstract
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.
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