Regression modelRegression / GLM
贝叶斯生存回归
贝叶斯生存回归将参数或半参数生存模型（如威布尔、对数正态或Cox比例风险模型）与贝叶斯推断相结合。它不产生点估计，而是为回归系数和基线风险生成完整的后验分布，自然地处理删失观测值并纳入关于事件时间或协变量效应的先验知识。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Ibrahim, J. G., Chen, M.-H., & Sinha, D. (2001). Bayesian Survival Analysis. Springer. ISBN: 978-0387952772
- Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955
如何引用本页
ScholarGate. (2026, June 3). Bayesian Survival Regression. ScholarGate. https://scholargate.app/zh/statistics/bayesian-survival-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.
- 贝叶斯 Cox 回归统计学↔ compare
- 贝叶斯广义线性模型统计学↔ compare
- 贝叶斯混合效应模型统计学↔ compare
- Cox比例风险回归生存分析↔ compare
- 生存回归统计学↔ compare