A simple time-to-event model with NONMEM featuring right-censoring

In healthcare situations, time-to-event (TTE) data are common outcomes. A parametric approach is often employed to handle TTE data because it is possible to easily visualize different scenarios via simulation. Not all pharmacometricians are familiar with the use of non-linear mixed effects models (N...

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Detalles Bibliográficos
Autores principales: Tran, Quyen Thi, Chae, Jung-woo, Bae, Kyun-Seop, Yun, Hwi-yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Clinical Pharmacology and Therapeutics 2022
Materias:
Tutorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253447/
https://www.ncbi.nlm.nih.gov/pubmed/35800666
http://dx.doi.org/10.12793/tcp.2022.30.e8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253447/
https://www.ncbi.nlm.nih.gov/pubmed/35800666
http://dx.doi.org/10.12793/tcp.2022.30.e8

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