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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...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer US
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3787222/ https://ncbi.nlm.nih.gov/pubmed/24022319 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1208/s12248-013-9526-y |
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