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Regresija proporcionalnih opasnosti Coxa×Weibullova parametarska regresija preživljenja×
PodručjeAnaliza preživljavanjaAnaliza preživljavanja
ObiteljSurvival analysisSurvival analysis
Godina nastanka19721951
TvoracCox, D. R.Waloddi Weibull
VrstaSemi-parametric hazard regression modelFully parametric survival regression model
Temeljni izvorCox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗Kalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. DOI ↗
Drugi nazivicox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler Regresyonuweibull aft model, weibull survival model, parametric survival regression, Weibull Regresyonu — Parametrik Hayatta Kalma
Srodne34
SažetakCox 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.Weibull regression is a fully parametric survival model, formalised by Kalbfleisch and Prentice, that assumes survival times follow a Weibull distribution. A shape parameter controls whether the hazard increases, decreases, or remains constant over time, while covariates shift the scale of the distribution to express how predictors affect survival.
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ScholarGateUsporedite metode: Cox Regression · Weibull Regression. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare