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المجالعلم الأوبئةتحليل البقاء
العائلةProcess / pipelineSurvival analysis
سنة النشأة1958 (estimator); pragmatic application formalized 1967 onward1966
صاحب الطريقةKaplan & Meier (estimator, 1958); Schwartz & Lellouch (pragmatic trial framework, 1967)Mantel, N.
النوعNon-parametric survival estimator within pragmatic study designNon-parametric hypothesis test
المصدر التأسيسيKaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170. link ↗
الأسماء البديلةpragmatic KM analysis, real-world Kaplan-Meier, pragmatic survival curve estimation, KM analysis in pragmatic trialsMantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
ذات صلة52
الملخصPragmatic Kaplan-Meier analysis applies the non-parametric Kaplan-Meier product-limit estimator to time-to-event data collected under real-world or pragmatic conditions — diverse populations, routine clinical care, minimal exclusions, and standard-of-care comparators. Unlike explanatory trials designed to isolate a treatment effect under ideal conditions, pragmatic designs accept real-world heterogeneity, and the resulting survival curves reflect the effectiveness of an intervention as it actually performs in clinical practice.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.
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  3. PUBLISHED

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ScholarGateقارن الطرق: Pragmatic Kaplan-Meier analysis · Log-Rank Test. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare