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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

  1. 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

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被引用于

ScholarGateBayesian Survival Analysis (Bayesian Survival Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/bayesian/bayesian-survival · 数据集: https://doi.org/10.5281/zenodo.20539026