dOFV distributions: a new diagnostic for the adequacy of parameter uncertainty in nonlinear mixed-effects models applied to the bootstrap

Knowledge of the uncertainty in model parameters is essential for decision-making in drug development. Contrarily to other aspects of nonlinear mixed effects models (NLMEM), scrutiny towards assumptions around parameter uncertainty is low, and no diagnostic exists to judge whether the estimated unce...

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Detalles Bibliográficos
Autores principales: Dosne, Anne-Gaëlle, Niebecker, Ronald, Karlsson, Mats O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110608/
https://www.ncbi.nlm.nih.gov/pubmed/27730481
http://dx.doi.org/10.1007/s10928-016-9496-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110608/
https://www.ncbi.nlm.nih.gov/pubmed/27730481
http://dx.doi.org/10.1007/s10928-016-9496-7

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