Survival analysis
Kaplan-Meier Survival Estimator
The 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.
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Sources
- Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI: 10.1080/01621459.1958.10501452 ↗
- 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 Cox Proportional HazardsBayesian Survival AnalysisCompeting Risks AnalysisCox RegressionFine-Gray Competing Risks ModelFrailty ModelJoint Model for Longitudinal and Survival DataLandmark AnalysisLife TableLog-Rank TestMixture Cure ModelMulti-State ModelNelson-Aalen EstimatorRandom Survival ForestRecurrent Event ModelRoyston-Parmar ModelSurvival Analysis Power AnalysisSurvival RegressionTime-Dependent Cox RegressionWeibull Regression