方法对比
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| 稳健 Cox 回归× | Cox比例风险回归× | |
|---|---|---|
| 领域≠ | 统计学 | 生存分析 |
| 方法族≠ | Regression model | Survival analysis |
| 起源年份≠ | 1989 | 1972 |
| 提出者≠ | Lin & Wei | Cox, D. R. |
| 类型≠ | Semi-parametric survival regression with robust variance | Semi-parametric hazard regression model |
| 开创性文献≠ | Lin, D. Y., & Wei, L. J. (1989). The robust inference for the Cox proportional hazards model. Journal of the American Statistical Association, 84(408), 1074–1078. DOI ↗ | Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗ |
| 别名 | Cox model with robust standard errors, sandwich-variance Cox regression, Lin-Wei robust Cox model, robust partial likelihood regression | cox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler Regresyonu |
| 相关 | 3 | 3 |
| 摘要≠ | Robust Cox regression fits the standard Cox proportional hazards model but replaces the model-based variance estimate with a sandwich (Huber-White) estimator. This yields valid standard errors and confidence intervals even when observations are clustered, the independence assumption is mildly violated, or the working model is slightly misspecified, without discarding the familiar hazard-ratio interpretation. | 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. |
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