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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

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第一作者： Song, Jiyeon

作者： Song, Jiyeon ^[1] ; Guha, Subharup ^[2] ; Li, Yi

作者单位： University of Michigan Department of Biostatistics ^[1] University of Florida Department of Biostatistics ^[2]

关键词 Bayesian variable selection Risk assessment Iterative conditional mode algorithm Markov chain Monte Carlo sampling Highest posterior density intervals Urgent care PROPORTIONAL HAZARDS MODEL VARIABLE SELECTION REGULARIZATION PATHS REGRESSION EFFICIENCY

发布时间 2024-05-12

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Statistics in Biosciences

2024年16卷1期

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Statistics in Biosciences

2024年16卷1期

221-249页

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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

Statistics in Biosciences

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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

Statistics in Biosciences

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Statistics in Biosciences

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