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Régression de survie paramétrique de Weibull×Estimateur de survie de Kaplan-Meier×
DomaineAnalyse de survieAnalyse de survie
FamilleSurvival analysisSurvival analysis
Année d'origine19511958
Auteur d'origineWaloddi WeibullKaplan, E. L. & Meier, P.
TypeFully parametric survival regression modelNon-parametric survival estimator
Source fondatriceKalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. DOI ↗Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗
Aliasweibull aft model, weibull survival model, parametric survival regression, Weibull Regresyonu — Parametrik Hayatta Kalmaproduct-limit estimator, km curve, kaplan-meier sağkalım analizi
Apparentées42
RésuméWeibull 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.The Kaplan-Meier estimator, introduced by Kaplan and Meier in 1958, is a non-parametric method that estimates the survival curve — the probability of remaining event-free over time — from right-censored time-to-event data. The log-rank test is the companion procedure used to compare survival curves between groups.
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ScholarGateComparer des méthodes: Weibull Regression · Kaplan-Meier. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare