Design Evaluation and Optimization of Population Pharmacokinetics Model Using an R Package PopED

Howon Ryu, Weng Kee Wong

研究成果: Article同行評審

摘要

The rising cost in drug development has led to continuous calls for more efficient and powerful design optimization and analysis tools for pkpd studies. More sophisticated models are increasingly used to reflect reality, and current models invariably include non-linear mixed effects models that frequently require specialized computational tools for the design and analysis of the study. Population PK analysis employs non-linear mixed effects models and evaluates designs and optimizes them via a specialized yet versatile software package called PopED (version 0.6.0) in programming language R (version 4.2.2) for pharmacometrics analyses. We demonstrate the utilities of the package when different models and statistical criteria are used in real settings to determine the optimal sampling times and optimal dose levels for the subjects. We provide two applications; the first is illustrative and the second is a new application on developing an optimal dosing scheme for a two-compartment PK model with perturbation. Our target audiences are mathematicians and statisticians who are not aware of this useful and powerful analytic tool.

原文English
文章編號4407
期刊Mathematics
11
發行號21
DOIs
出版狀態Published - 2023 11月

All Science Journal Classification (ASJC) codes

  • 電腦科學(雜項)
  • 一般數學
  • 工程(雜項)

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