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Estimateur de survie de Kaplan-Meier×Test du Log-Rank pour la Comparaison des Courbes de Survie×
DomaineAnalyse de survieAnalyse de survie
FamilleSurvival analysisSurvival analysis
Année d'origine19581966
Auteur d'origineKaplan, E. L. & Meier, P.Mantel, N.
TypeNon-parametric survival estimatorNon-parametric hypothesis test
Source fondatriceKaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170. link ↗
Aliasproduct-limit estimator, km curve, kaplan-meier sağkalım analiziMantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Apparentées22
RésuméThe 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.The log-rank test, developed by Nathan Mantel in 1966, is a non-parametric hypothesis test that compares the overall survival experience of two or more groups throughout the entire follow-up period. It is the standard companion to Kaplan-Meier curves and determines whether observed differences between curves are statistically meaningful.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Kaplan-Meier · Log-Rank Test. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare