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Improving the estimation of parameter uncertainty distributions in nonlinear mixed effects models using sampling importance resampling
Taking parameter uncertainty into account is key to make drug development decisions such as testing whether trial endpoints meet defined criteria. Currently used methods for assessing parameter uncertainty in NLMEM have limitations, and there is a lack of diagnostics for when these limitations occur...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110709/ https://www.ncbi.nlm.nih.gov/pubmed/27730482 http://dx.doi.org/10.1007/s10928-016-9487-8 |