Improving the estimation of parameter uncertainty distributions in nonlinear mixed effects models using sampling importance resampling

Taking parameter uncertainty into account is key to make drug development decisions such as testing whether trial endpoints meet defined criteria. Currently used methods for assessing parameter uncertainty in NLMEM have limitations, and there is a lack of diagnostics for when these limitations occur...

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Detalles Bibliográficos
Autores principales: Dosne, Anne-Gaëlle, Bergstrand, Martin, Harling, Kajsa, 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/PMC5110709/
https://www.ncbi.nlm.nih.gov/pubmed/27730482
http://dx.doi.org/10.1007/s10928-016-9487-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110709/
https://www.ncbi.nlm.nih.gov/pubmed/27730482
http://dx.doi.org/10.1007/s10928-016-9487-8

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