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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Society for Clinical Pharmacology and Therapeutics
2022
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| Materias: | |
| 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 |