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Bayesian Survival Analysis/Evidence
Method evidence record

Bayesian Survival Analysis

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.

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Bayesian Survival Analysis
Taxonomic method record · bayesian / bayesian
  • Ibrahim, J.G., Chen, M.-H. & Sinha, D. (2001). Bayesian Survival Analysis. Springer. · DOI 10.1007/978-1-4757-3447-8
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Related methods

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Same method familyBayesian Regressionmachine-suggested · Relational suggestion, not evidence.See alsoCox Regressionmachine-suggested · Relational suggestion, not evidence.See alsoKaplan-Meiermachine-suggested · Relational suggestion, not evidence.See alsoWeibull Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

1 recorded citation, copied from the method source record.

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