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ベイズ生存時間解析×Cox比例ハザード回帰×カプラン・マイヤー生存時間推定量×
分野ベイズ生存時間解析生存時間解析
系統Bayesian methodsSurvival analysisSurvival analysis
提唱年200119721958
提唱者Ibrahim, Chen & SinhaCox, D. R.Kaplan, E. L. & Meier, P.
種類Bayesian time-to-event modelSemi-parametric hazard regression modelNon-parametric survival estimator
原典Ibrahim, J.G., Chen, M.-H. & Sinha, D. (2001). Bayesian Survival Analysis. Springer. DOI ↗Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗
別名bayesian sağkalım analizi, bayesian time-to-event analysis, bayesian hazard modelcox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler Regresyonuproduct-limit estimator, km curve, kaplan-meier sağkalım analizi
関連432
概要Bayesian survival analysis applies Bayesian inference to time-to-event models — Cox proportional hazards, parametric (Weibull, exponential), and cure models. Formalised comprehensively by Ibrahim, Chen and Sinha (2001), the approach encodes prior knowledge about hazard rates and regression coefficients, then updates it with censored survival data to yield posterior hazard ratios and credible intervals rather than single point estimates.Cox proportional hazards regression, introduced by D. R. Cox in 1972, is a semi-parametric model that estimates how one or more covariates affect the hazard — the instantaneous rate of experiencing an event — while leaving the baseline hazard function unspecified. It is the standard multivariable method in survival analysis and produces hazard ratios that quantify the relative risk associated with each predictor.The Kaplan-Meier estimator, introduced by Kaplan and Meier in 1958, is a non-parametric method that estimates the survival curve — the probability of remaining event-free over time — from right-censored time-to-event data. The log-rank test is the companion procedure used to compare survival curves between groups.
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ScholarGate手法を比較: Bayesian Survival Analysis · Cox Regression · Kaplan-Meier. 2026-06-18に以下より取得 https://scholargate.app/ja/compare