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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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書目詳細資料
Main Authors: Ibrahim, Joseph G., Chen, Ming-Hui, Kim, Sungduk
格式: Artigo
語言:Inglês
出版: 2008
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在線閱讀: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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