解决模型使用-重用设置中模型不稳定性的药物计量工作流程。

IF 3.1 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Stephen B Duffull, Daniel F B Wright, Xiao Zhu, Xin Liu, Ahmed Abulfathi, Hailemichael Hishe
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引用次数: 0

摘要

基于临床和临床前数据的适合目的的药代动力学-药效学(PKPD)模型的开发是模型知情药物开发的一个至关重要的过程。这个过程经常受到建模稳定性问题的阻碍,这些问题通常是多因素的,难以克服,导致模型构建的拖延和模型的任意简化。本教程提供了一个启发式工作流来帮助识别和解决与模型不稳定性相关的问题。该方法集中于使用NONMEM进行的分析,但这些概念可以推广到用于药代动力学(PK)或PKPD数据群体分析的其他软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Pharmacometric Workflow for Resolving Model Instability in Model Use-Reuse Settings.

The development of fit-for-purpose pharmacokinetic-pharmacodynamic (PKPD) models based on clinical and pre-clinical data is a critically important process in model informed drug development. This process is often hampered by modeling stability issues that are often multifactorial in nature and difficult to overcome, leading to protracted model building and arbitrary simplification of the model. This tutorial provides a heuristic workflow to help identify and resolve issues relating to model instability. The approach is centered on analyses undertaken using NONMEM, but the concepts can be generalized to other software used for population analysis of pharmacokinetics (PK) or PKPD data.

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来源期刊
CiteScore
5.00
自引率
11.40%
发文量
146
审稿时长
8 weeks
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