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贝叶斯 Cox 回归

贝叶斯 Cox 回归将用于事件时间数据的 Cox 比例风险模型与贝叶斯推断相结合。它不提供点估计,而是为风险比提供完整的后验分布,自然地纳入先验知识,并能在样本量小或删失信息量大的情况下提供连贯的不确定性量化。

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Method map

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来源

  1. Ibrahim, J. G., Chen, M.-H., & Sinha, D. (2001). Bayesian Survival Analysis. Springer. ISBN: 978-0387952772
  2. Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society, Series B, 34(2), 187–220. link

如何引用本页

ScholarGate. (2026, June 3). Bayesian Cox Proportional Hazards Regression. ScholarGate. https://scholargate.app/zh/statistics/bayesian-cox-regression

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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被引用于

ScholarGateBayesian Cox Regression (Bayesian Cox Proportional Hazards Regression). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/bayesian-cox-regression · 数据集: https://doi.org/10.5281/zenodo.20539026