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| Accelerated Failure Time (AFT) model× | Cox Proportional Hazards Regression× | |
|---|---|---|
| Fagområde | Overlevelsesanalyse | Overlevelsesanalyse |
| Familie | Survival analysis | Survival analysis |
| Oprindelsesår≠ | 1992 | 1972 |
| Ophavsperson≠ | Wei, L. J. (seminal review 1992); origins in parametric survival literature | Cox, D. R. |
| Type≠ | Parametric survival regression model | Semi-parametric hazard regression model |
| Oprindelig kilde≠ | Wei, L. J. (1992). The Accelerated Failure Time Model: A Useful Alternative to the Cox Regression Model in Survival Analysis. Statistics in Medicine, 11(14–15), 1871–1879. DOI ↗ | Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗ |
| Aliasser≠ | AFT model, parametric survival regression, Hızlandırılmış Başarısızlık Zamanı Modeli (AFT) | cox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler Regresyonu |
| Relaterede | 3 | 3 |
| Resumé≠ | The Accelerated Failure Time model is a parametric regression approach to survival analysis — formally reviewed and advocated by L. J. Wei in 1992 — in which covariates act as multiplicative factors that directly stretch or compress the time-to-event scale. Unlike the Cox proportional-hazards model, which models how covariates shift the hazard rate, AFT models express the covariate effect as an acceleration or deceleration of the time axis itself. | 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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