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Bayesian variable selection for the Cox regression model with missing covariates

In this paper, we develop Bayesian methodology and computational algorithms for variable subset selection in Cox proportional hazards models with missing covariate data. A new joint semi-conjugate prior for the piecewise exponential model is proposed in the presence of missing covariates and its pro...

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Библиографические подробности
Главные авторы: Ibrahim, Joseph G., Chen, Ming-Hui, Kim, Sungduk
Формат: Artigo
Язык:Inglês
Опубликовано: 2008
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC2858597/
https://ncbi.nlm.nih.gov/pubmed/18836829
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10985-008-9101-5
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