Survival analysis
Log-Rank Test for Comparing Survival Curves
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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Sources
- 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 ↗
- Kleinbaum, D. G. & Klein, M. (2012). Survival Analysis: A Self-Learning Text (3rd ed.). Springer. ISBN: 978-1441966452
Related methods
Referenced by
Accelerated Failure Time ModelAdaptive Survival AnalysisCompeting Risks AnalysisCox RegressionFine-Gray Competing Risks ModelKaplan-MeierKaplan-Meier AnalysisKaplan-Meier EstimatorMatched Survival AnalysisMixture Cure ModelNelson-Aalen EstimatorPragmatic Kaplan-Meier analysisRetrospective Kaplan-Meier AnalysisRisk-adjusted Cox Proportional HazardsRoyston-Parmar ModelSurvival Analysis Power Analysis