Bayesian Inference for High Dimensional Cox Models with Gaussian and Diffused-Gamma Priors: A Case Study of Mortality in COVID-19 Patients Admitted to the ICU
Author:
Funder
NIH
Publisher
Springer Science and Business Media LLC
Subject
Biochemistry, Genetics and Molecular Biology (miscellaneous),Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s12561-023-09395-5.pdf
Reference47 articles.
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3. Tibshirani R (1996) Regression shrinkage and selection via the lasso. J R Stat Soc Ser B (Stat Methodol) 58(1):267–288
4. Tibshirani R (1997) The lasso method for variable selection in the Cox model. Stat Med 16(4):385–395
5. Gui J, Li H (2005) Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data. Bioinformatics 21(13):3001–3008
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