পদ্ধতির তুলনা করুন

	নেলসন-আলেন কিউমুলেটিভ হ্যাজার্ড এস্টিমেটর	Kaplan-Meier Survival Estimator	সার্ভাইভাল কার্ভ (Survival Curve) তুলনা করার জন্য লগ-র‍্যাঙ্ক পরীক্ষা
ক্ষেত্র	উত্তরজীবিতা	উত্তরজীবিতা	উত্তরজীবিতা
পরিবার	Survival analysis	Survival analysis	Survival analysis
উদ্ভবের বছর	1972	1958	1966
প্রবর্তক	Wayne Nelson & Odd Aalen	Kaplan, E. L. & Meier, P.	Mantel, N.
ধরন	Non-parametric cumulative hazard estimator	Non-parametric survival estimator	Non-parametric hypothesis test
মৌলিক উৎস	Nelson, W. (1972). Theory and applications of hazard plotting for censored failure data. Technometrics, 14(4), 945–966.	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.
অপর নাম	Nelson-Aalen cumulative hazard, Aalen estimator, empirical cumulative hazard, Nelson-Aalen kümülatif hazard tahmincisi	product-limit estimator, km curve, kaplan-meier sağkalım analizi	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
সম্পর্কিত	5	2	2
সারসংক্ষেপ	The Nelson-Aalen estimator is a non-parametric estimator of the cumulative hazard function from right-censored time-to-event data. Developed by Wayne Nelson for reliability hazard plotting in 1972 and placed on a rigorous counting-process foundation by Odd Aalen in 1978, it accumulates the ratio of observed events to the number at risk at each event time, providing the natural hazard-scale companion to the Kaplan-Meier survival curve.	The Kaplan-Meier estimator, introduced by Kaplan and Meier in 1958, is a non-parametric method that estimates the survival curve — the probability of remaining event-free over time — from right-censored time-to-event data. The log-rank test is the companion procedure used to compare survival curves between groups.	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.