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Bayesian Cox Regression/Evidence
Method evidence record

Bayesian Cox Regression

Bayesian Cox regression combines the Cox proportional hazards model for time-to-event data with Bayesian inference. Instead of point estimates, it produces full posterior distributions over the hazard ratios, naturally incorporating prior knowledge and providing coherent uncertainty quantification even with small samples or informative censoring.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bayesian Cox Proportional Hazards Regression
Taxonomic method record · regression-model / statistics
  • Ibrahim, J. G., Chen, M.-H., & Sinha, D. (2001). Bayesian Survival Analysis. Springer. · ISBN 978-0387952772
  • Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society, Series B, 34(2), 187–220. · URL
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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketBayesian Generalized Linear Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Mixed Effects Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Survival regressionmachine-suggested · Relational suggestion, not evidence.See alsoCox Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSurvival Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketZero-inflated modelmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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