手法を比較

	Kaplan-Meier Analysis	生存曲線比較のためのログランク検定
分野	疫学	生存時間解析
系統	Process / pipeline	Survival analysis
提唱年	1958	1966
提唱者	Edward L. Kaplan and Paul Meier	Mantel, N.
種類	Nonparametric survival estimator	Non-parametric hypothesis test
原典	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.
別名	KM analysis, KM estimator, product-limit estimator, Kaplan-Meier curve	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
関連	5	2
概要	Kaplan-Meier (KM) analysis is a nonparametric method for estimating the survival function from time-to-event data. Introduced by Kaplan and Meier in 1958, it produces the classic step-function survival curve that shows the probability of surviving beyond each observed event time, correctly accounting for censored observations — participants who left the study or had not yet experienced the event by the end of follow-up. It is one of the most widely used techniques in clinical and epidemiological 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.