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Joint Modeling of Covariates and Censoring Process Assuming Non-Constant Dropout Hazard
In this manuscript we propose a novel approach for the analysis of longitudinal data that have informative dropout. We jointly model the slopes of covariates of interest and the censoring process for which we assume a survival model with logistic non-constant dropout hazard in a likelihood function...
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| Publicado no: | Stat Methods Appt |
|---|---|
| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5010875/ https://ncbi.nlm.nih.gov/pubmed/27605892 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10260-015-0302-2 |
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