连续数据药代动力学模型的模型评估:指标与图形

Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics.

作者信息

Nguyen T H T, Mouksassi M-S, Holford N, Al-Huniti N, Freedman I, Hooker A C, John J, Karlsson M O, Mould D R, Pérez Ruixo J J, Plan E L, Savic R, van Hasselt J G C, Weber B, Zhou C, Comets E, Mentré F

机构信息

INSERM, IAME, UMR 1137, Paris, France, Université Paris Diderot, Sorbonne Paris Cité, Paris, France.

Certara Strategic Consulting, Montréal, Canada.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2017 Feb;6(2):87-109. doi: 10.1002/psp4.12161. Epub 2017 Feb 10.

Abstract

This article represents the first in a series of tutorials on model evaluation in nonlinear mixed effect models (NLMEMs), from the International Society of Pharmacometrics (ISoP) Model Evaluation Group. Numerous tools are available for evaluation of NLMEM, with a particular emphasis on visual assessment. This first basic tutorial focuses on presenting graphical evaluation tools of NLMEM for continuous data. It illustrates graphs for correct or misspecified models, discusses their pros and cons, and recalls the definition of metrics used.

摘要

本文是国际药代动力学学会(ISoP)模型评估小组关于非线性混合效应模型(NLMEM)模型评估系列教程中的第一篇。有许多工具可用于NLMEM的评估,尤其侧重于可视化评估。这第一篇基础教程重点介绍用于连续数据的NLMEM图形评估工具。它展示了正确或指定错误模型的图形,讨论了它们的优缺点,并回顾了所用指标的定义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f1e/5321813/5312f6fa455f/PSP4-6-87-g001.jpg

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