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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...
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| Publicado no: | AAPS J |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8093168/ https://ncbi.nlm.nih.gov/pubmed/33942179 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1208/s12248-021-00596-8 |
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