পদ্ধতির তুলনা করুন

	ম্যাচড কাপলান-মেয়ার বিশ্লেষণ	কপ্ল্যান-মেয়ার বিশ্লেষণ
ক্ষেত্র	মহামারীবিদ্যা	মহামারীবিদ্যা
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	1958 (KM); matched application formalized 1980s–2000s	1958
প্রবর্তক	Kaplan & Meier (KM method, 1958); matching extensions developed through propensity score methods (Rosenbaum & Rubin, 1983)	Edward L. Kaplan and Paul Meier
ধরন	Nonparametric survival analysis with observational confounder control	Nonparametric survival estimator
মৌলিক উৎস	Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457-481.	Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481.
অপর নাম	KM analysis in matched cohorts, propensity-matched survival curves, matched survival analysis, paired Kaplan-Meier	KM analysis, KM estimator, product-limit estimator, Kaplan-Meier curve
সম্পর্কিত	6	5
সারসংক্ষেপ	Matched Kaplan-Meier analysis estimates and compares survival functions in groups that have been pre-balanced through individual or propensity-score matching. By applying the Kaplan-Meier product-limit estimator to matched cohorts or matched pairs, investigators can visualize time-to-event outcomes while controlling for confounders that would otherwise distort treatment or exposure comparisons in observational data.	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.