Bayesian methods
贝叶斯生存分析
贝叶斯生存分析将贝叶斯推断应用于时间-事件模型——Cox比例风险模型、参数模型(威布尔分布、指数分布)和治愈模型。该方法由Ibrahim、Chen和Sinha(2001)全面形式化,它编码了关于风险率和回归系数的先验知识,然后用删失的生存数据对其进行更新,以产生后验风险比和可信区间,而不是单一的点估计。
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来源
- Ibrahim, J.G., Chen, M.-H. & Sinha, D. (2001). Bayesian Survival Analysis. Springer. DOI: 10.1007/978-1-4757-3447-8 ↗
如何引用本页
ScholarGate. (2026, June 1). Bayesian Survival Analysis. ScholarGate. https://scholargate.app/zh/bayesian/bayesian-survival
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.
- Bayesian Regression贝叶斯↔ compare
- Cox比例风险回归生存分析↔ compare
- Kaplan-Meier生存估计量生存分析↔ compare
- 威布尔参数生存回归生存分析↔ compare