Robust Cox Regression
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.
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Източници
- 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: 10.1080/01621459.1989.10478874 ↗
- Therneau, T. M., & Grambsch, P. M. (2000). Modeling Survival Data: Extending the Cox Model. Springer. ISBN: 978-0387987784
Как да цитирате тази страница
ScholarGate. (2026, June 3). Robust Cox Proportional Hazards Regression. ScholarGate. https://scholargate.app/bg/statistics/robust-cox-regression
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Регресия на пропорционалните опасности на КоксАнализ на преживяемостта↔ compare
- Робустна регресияСтатистика↔ compare
- Регресия на преживяемосттаСтатистика↔ compare
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