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Model ubrzanog vremena do kvara (AFT)×Regresija proporcionalnih opasnosti Coxa×
PodručjeAnaliza preživljavanjaAnaliza preživljavanja
ObiteljSurvival analysisSurvival analysis
Godina nastanka19921972
TvoracWei, L. J. (seminal review 1992); origins in parametric survival literatureCox, D. R.
VrstaParametric survival regression modelSemi-parametric hazard regression model
Temeljni izvorWei, 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 ↗
Drugi naziviAFT model, parametric survival regression, Hızlandırılmış Başarısızlık Zamanı Modeli (AFT)cox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler Regresyonu
Srodne33
SažetakThe 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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ScholarGateUsporedite metode: Accelerated Failure Time Model · Cox Regression. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare