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Retrospektywna regresja hazardu proporcjonalnego Coxa×Model Coxa z proporcjonalnym hazardem×
DziedzinaEpidemiologiaEpidemiologia
RodzinaProcess / pipelineProcess / pipeline
Rok powstania19721972
TwórcaDavid R. CoxSir David Roxbee Cox
TypSemi-parametric survival regressionSemi-parametric regression model
Źródło pierwotneCox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society, Series B, 34(2), 187–220. DOI ↗Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202. DOI ↗
Inne nazwyCox PH regression (retrospective), retrospective Cox survival model, retrospective hazard regression, Cox model on historical dataCox regression, Cox PH model, proportional hazards model, CPH
Pokrewne55
PodsumowanieRetrospective Cox proportional hazards regression applies Cox's (1972) semi-parametric survival model to time-to-event data extracted from existing records — medical charts, administrative databases, registries, or biobanks. It estimates covariate-adjusted hazard ratios (HRs) without specifying the underlying baseline hazard, making it the dominant analytic tool when the investigator works backward from already-recorded outcomes and exposures.The Cox proportional hazards model is a semi-parametric regression method that estimates the effect of one or more covariates on the hazard — the instantaneous rate of an event such as death, relapse, or failure — while making no assumption about the shape of the baseline hazard function. Introduced by David Cox in 1972, it is the dominant tool for multivariable survival analysis in clinical and epidemiological research.
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ScholarGatePorównaj metody: Retrospective Cox proportional hazards · Cox proportional hazards. Pobrano 2026-06-20 z https://scholargate.app/pl/compare