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خانوادهProcess / pipelineSurvival analysis
سال پیدایش1958 (method); retrospective application standard in clinical research since 1970s–1980s)1966
پدیدآورEdward L. Kaplan and Paul MeierMantel, N.
نوعNon-parametric survival analysis applied to historical dataNon-parametric hypothesis test
منبع بنیادینKaplan, 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 ↗
نام‌های دیگرretrospective KM analysis, retrospective survival curve estimation, historical Kaplan-Meier, retrospective KM estimatorMantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
مرتبط52
خلاصهRetrospective Kaplan-Meier analysis applies the Kaplan-Meier product-limit estimator to time-to-event data drawn from existing records — medical charts, registries, or administrative databases — rather than from a prospectively followed cohort. The method estimates the probability of surviving (or remaining event-free) beyond any given time point while accounting for participants whose follow-up ended before the event occurred (censored observations). It is among the most commonly reported analyses in clinical oncology, cardiology, and surgery.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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ScholarGateمقایسهٔ روش‌ها: Retrospective Kaplan-Meier Analysis · Log-Rank Test. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare