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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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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2008
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| Ämnen: | |
| Länkar: | 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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