Impact of Sample Size on the Performance of Multiple-Model Pharmacokinetic Simulations-Reference-Cited by-同舟云学术

Impact of Sample Size on the Performance of Multiple-Model Pharmacokinetic Simulations

Published:2006-11 Issue:11 Volume:50 Page:3950-3952
ISSN:0066-4804
Container-title:Antimicrobial Agents and Chemotherapy
language:en
Short-container-title:Antimicrob Agents Chemother

Author:

Tam Vincent H.¹,Kabbara Samer¹,Yeh Rosa F.¹,Leary Robert H.²

Affiliation:

1. Department of Clinical Sciences and Administration, University of Houston College of Pharmacy, Houston, Texas

2. Laboratory of Applied Pharmacokinetics, University of Southern California School of Medicine, Los Angeles, California

Abstract

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.

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology

Link

https://journals.asm.org/doi/pdf/10.1128/AAC.00337-06

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