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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| 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 |