Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Regresia Cox cu Hazarduri Proporționale Retrospectivă× | Modelul Cox de Hazarduri Proporționale× | |
|---|---|---|
| Domeniu | Epidemiologie | Epidemiologie |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției | 1972 | 1972 |
| Autorul original≠ | David R. Cox | Sir David Roxbee Cox |
| Tip≠ | Semi-parametric survival regression | Semi-parametric regression model |
| Sursa seminală≠ | Cox, 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 ↗ |
| Denumiri alternative | Cox PH regression (retrospective), retrospective Cox survival model, retrospective hazard regression, Cox model on historical data | Cox regression, Cox PH model, proportional hazards model, CPH |
| Înrudite | 5 | 5 |
| Rezumat≠ | Retrospective 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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