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Comparison of Methods for Handling Missing Covariate Data
Missing covariate data is a common problem in nonlinear mixed effects modelling of clinical data. The aim of this study was to implement and compare methods for handling missing covariate data in nonlinear mixed effects modelling under different missing data mechanisms. Simulations generated data fo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787222/ https://www.ncbi.nlm.nih.gov/pubmed/24022319 http://dx.doi.org/10.1208/s12248-013-9526-y |