Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics.
Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics.
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DOI：
10.1002/psp4.12161
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发表时间：
2017-02
期刊：
影响因子：
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通讯作者：
Model Evaluation Group of the International Society of Pharmacometrics (ISoP) Best Practice Committee
中科院分区：
文献类型：
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作者：
Nguyen TH;Mouksassi MS;Holford N;Al-Huniti N;Freedman I;Hooker AC;John J;Karlsson MO;Mould DR;Pérez Ruixo JJ;Plan EL;Savic R;van Hasselt JG;Weber B;Zhou C;Comets E;Mentré F;Model Evaluation Group of the International Society of Pharmacometrics (ISoP) Best Practice Committee
本文是国际药物计量学会（ISoP）模型评估小组关于非线性混合效应模型（NLMEMs）中模型评估的系列教程中的第一篇。许多工具可用于NLMEM的评估，特别强调视觉评估。第一个基础教程重点介绍NLMEM连续数据的图形评估工具。它展示了正确或错误指定的模型的图形，讨论了它们的优缺点，并回顾了所使用的度量的定义。
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.