Cox Regression
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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. · DOI 10.1111/j.2517-6161.1972.tb00899.x
- Therneau, T. M. & Grambsch, P. M. (2000). Modeling Survival Data: Extending the Cox Model. Springer. · ISBN 978-0387987842
Curated claims
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Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.