Salīdzināt metodes

	Kaplana-Meiera novērtētājs	Log-rank tests salīdzināšanai izdzīvošanas līknēm
Nozare	Statistika	Dzīvildze
Saime	Survival analysis	Survival analysis
Izcelsmes gads	1958	1966
Autors	Edward L. Kaplan and Paul Meier	Mantel, N.
Tips	Nonparametric estimator	Non-parametric hypothesis test
Pirmavots	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.
Citi nosaukumi	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
Saistītās	2	2
Kopsavilkums	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.