เปรียบเทียบวิธี

	การวิเคราะห์ Kaplan-Meier	การทดสอบ Log-Rank สำหรับเปรียบเทียบเส้นโค้งการรอดชีพ
สาขาวิชา	ระบาดวิทยา	การวิเคราะห์การอยู่รอด
ตระกูล	Process / pipeline	Survival analysis
ปีกำเนิด	1958	1966
ผู้ริเริ่ม	Edward L. Kaplan and Paul Meier	Mantel, N.
ประเภท	Nonparametric survival estimator	Non-parametric hypothesis test
แหล่งต้นตำรับ	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.
ชื่อเรียกอื่น	KM analysis, KM estimator, product-limit estimator, Kaplan-Meier curve	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
ที่เกี่ยวข้อง	5	2
สรุป	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.