השוואת שיטות

	אומדן קפלן-מאייר	מבחן לוג-רנְק להשוואת עקומות הישרדות
תחום	סטטיסטיקה	הישרדות
משפחה	Survival analysis	Survival analysis
שנת המקור	1958	1966
הוגה השיטה	Edward L. Kaplan and Paul Meier	Mantel, N.
סוג	Nonparametric estimator	Non-parametric hypothesis test
מקור מכונן	Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481.	Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170.
כינויים	KM estimator, product-limit estimator, Kaplan-Meier curve, survival curve estimator	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
קשורות	2	2
תקציר	The Kaplan-Meier estimator is a nonparametric method for estimating the survival function S(t) — the probability that an individual survives beyond time t — from data that include censored observations. Introduced by Edward L. Kaplan and Paul Meier in their landmark 1958 JASA paper, it is the standard first step in any survival analysis and is among the most-cited statistical methods in biomedical research.	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.