title: 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.
authors.affiliation: University of Houston College of Pharmacy, 1441 Moursund Street, Houston, TX 77030, USA. vtam@uh.edu
authors.forename: Vincent H
authors.initials: VH
authors.lastname: Tam
authors.forename: Samer
authors.initials: S
authors.lastname: Kabbara
authors.forename: Rosa F
authors.initials: RF
authors.lastname: Yeh
authors.forename: Robert H
authors.initials: RH
authors.lastname: Leary
mesh_terms: D000900:Anti-Bacterial Agents / Q000493:pharmacokinetics*; D019540:Area Under Curve; D006801:Humans; D009010:Monte Carlo Method; D010599:Pharmacokinetics; D011153:Population; D018401:Sample Size
chemical_list: D000900:Anti-Bacterial Agents