2017
DOI: 10.1002/psp4.12161
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Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics

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… Show more

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Cited by 287 publications
(286 citation statements)
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References 28 publications
(80 reference statements)
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“…A total of 1000 simulations were used to estimate confidence intervals. A prediction corrected visual predicted check was used to evaluate how well the model predicted the distribution of observations.…”
Section: Methodsmentioning
confidence: 99%
“…A total of 1000 simulations were used to estimate confidence intervals. A prediction corrected visual predicted check was used to evaluate how well the model predicted the distribution of observations.…”
Section: Methodsmentioning
confidence: 99%
“…Population PK parameters were estimated using first‐order conditional estimations with interactions. Model selection was based on the objective function value (OFV) calculated by NONMEM, the relative SE of the parameter estimates, and model diagnosis plots …”
Section: Methodsmentioning
confidence: 99%
“…below the quantification limit) data. In agreement with recent guidelines from Nguyen et al (), observations are displayed on a log scale to better evaluate the quality of fit [Colour figure can be viewed at wileyonlinelibrary.com]…”
Section: Resultsmentioning
confidence: 95%