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Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics

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 assess...

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Detalles Bibliográficos
Autores principales: Nguyen, THT, Mouksassi, M‐S, Holford, N, Al‐Huniti, N, Freedman, I, Hooker, AC, John, J, Karlsson, MO, Mould, DR, Pérez Ruixo, JJ, Plan, EL, Savic, R, van Hasselt, JGC, Weber, B, Zhou, C, Comets, E, Mentré, F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5321813/
https://www.ncbi.nlm.nih.gov/pubmed/27884052
http://dx.doi.org/10.1002/psp4.12161
Descripción
Sumario: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.