Assessing Treatment Effects with Pharmacometric Models: A New Method that Addresses Problems with Standard Assessments

Longitudinal pharmacometric models offer many advantages in the analysis of clinical trial data, but potentially inflated type I error and biased drug effect estimates, as a consequence of model misspecifications and multiple testing, are main drawbacks. In this work, we used real data to compare th...

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Detalles Bibliográficos
Autores principales: Chasseloup, Estelle, Tessier, Adrien, Karlsson, Mats O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093168/
https://www.ncbi.nlm.nih.gov/pubmed/33942179
http://dx.doi.org/10.1208/s12248-021-00596-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093168/
https://www.ncbi.nlm.nih.gov/pubmed/33942179
http://dx.doi.org/10.1208/s12248-021-00596-8

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