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Kaplan-Meier Analysis/Evidence
Method evidence record

Kaplan-Meier Analysis

Kaplan-Meier (KM) analysis is a nonparametric method for estimating the survival function from time-to-event data. Introduced by Kaplan and Meier in 1958, it produces the classic step-function survival curve that shows the probability of surviving beyond each observed event time, correctly accounting for censored observations — participants who left the study or had not yet experienced the event by the end of follow-up. It is one of the most widely used techniques in clinical and epidemiological research.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Kaplan-Meier Survival Analysis
Taxonomic method record · process-pipeline / epidemiology
  • Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481. · DOI 10.2307/2281868
  • Kaplan–Meier estimator. Wikipedia. · URL
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketCohort Studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCox proportional hazardsmachine-suggested · Relational suggestion, not evidence.See alsoLog-Rank Testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRandomized clinical trialmachine-suggested · Relational suggestion, not evidence.Same method familySurvival Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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