Comparer des méthodes

	Analyse de survie à risques concurrents	Test du Log-Rank pour la Comparaison des Courbes de Survie
Domaine	Analyse de survie	Analyse de survie
Famille	Survival analysis	Survival analysis
Année d'origine	1999	1966
Auteur d'origine	Fine, J.P. & Gray, R.J.	Mantel, N.
Type	Competing risks survival model	Non-parametric hypothesis test
Source fondatrice	Fine, J.P. & Gray, R.J. (1999). A Proportional Hazards Model for the Subdistribution of a Competing Risk. Journal of the American Statistical Association, 94(446), 496–509.	Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170.
Alias	Rekabet Eden Riskler Analizi, cumulative incidence function, CIF analysis, cause-specific survival analysis	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Apparentées	5	2
Résumé	Competing risks analysis, formalized by Fine and Gray in 1999, is a survival analysis framework for settings where a subject can experience one of several mutually exclusive event types. The key quantity is the cumulative incidence function (CIF), which estimates the probability of a specific event occurring by time t in the presence of the other competing events.	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.