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Comparison of Seven Non-Linear Mixed Effect Model-Based Approaches to Test for Treatment Effect
Analyses of longitudinal data with non-linear mixed-effects models (NLMEM) are typically associated with high power, but sometimes at the cost of inflated type I error. Approaches to overcome this problem were published recently, such as model-averaging across drug models (MAD), individual model-ave...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959233/ https://www.ncbi.nlm.nih.gov/pubmed/36839782 http://dx.doi.org/10.3390/pharmaceutics15020460 |