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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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Détails bibliographiques
Auteurs principaux: Ibrahim, Joseph G., Chen, Ming-Hui, Kim, Sungduk
Format: Artigo
Langue:Inglês
Publié: 2008
Sujets:
Accès en ligne: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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