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Kaplana-Meiera izdzīvošanas novērtētājs×Log-rank tests salīdzināšanai izdzīvošanas līknēm×
NozareDzīvildzeDzīvildze
SaimeSurvival analysisSurvival analysis
Izcelsmes gads19581966
AutorsKaplan, E. L. & Meier, P.Mantel, N.
TipsNon-parametric survival estimatorNon-parametric hypothesis test
PirmavotsKaplan, 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 ↗
Citi nosaukumiproduct-limit estimator, km curve, kaplan-meier sağkalım analiziMantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Saistītās22
KopsavilkumsThe 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.
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ScholarGateSalīdzināt metodes: Kaplan-Meier · Log-Rank Test. Izgūts 2026-06-18 no https://scholargate.app/lv/compare