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Developing tools to evaluate non-linear mixed effect models: 20 years on the npde adventure

Abstract : This article revisits twenty years of our work in developing evaluation tools adapted to non-linear mixed effect models. These hierarchical models involve a large number of assumptions concerning the structural evolution of the outcomes, the link between different outcomes, the variabilities in the parameters, and model evaluation aims at assessing these various components, both to help guide the model building and to communicate on model adequacy for a given purpose. During our career, we have developed and extended simulation-based evaluation tools called normalised prediction discrepancies (npd) and normalised prediction distribution errors (npde), providing informative diagnostics through graphs and tests.
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https://www.hal.inserm.fr/inserm-03241629
Contributor : Emmanuelle Comets Connect in order to contact the contributor
Submitted on : Friday, May 28, 2021 - 6:09:22 PM
Last modification on : Thursday, April 7, 2022 - 1:58:24 PM
Long-term archiving on: : Sunday, August 29, 2021 - 7:47:20 PM

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Emmanuelle Comets, France Mentré. Developing tools to evaluate non-linear mixed effect models: 20 years on the npde adventure. AAPS Journal, American Association of Pharmaceutical Scientists, 2021, 23 (4), pp.75. ⟨10.1208/s12248-021-00597-7⟩. ⟨inserm-03241629⟩

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