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Bootstrapping the Kaplan-Meier Estimator

Journal of the American Statistical Association, 1986
Abstract Randomly censored data consist of iid pairs of observations (Xi, δi), i = 1, …, n; if δ i = 0, Xi denotes a censored observation, and if δ i = 1, Xi denotes an exact “survival” time, which is the variable of interest. For estimating the distribution F of the survival times, the product-limit estimator proposed by Kaplan and Meier (1958) has ...
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The Kaplan–Meier theatre

Teaching Statistics, 2016
SummarySurvival is difficult to estimate when observation periods of individuals differ in length. Students imagine sailing the Titanic and then recording whether they "live" or "die". A clever algorithm is performed which results in the Kaplan‐Meier estimate of survival.
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Weighted Kaplan-Meier Tests for Umbrella Alternatives

Annals of the Institute of Statistical Mathematics, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, Wei-Chun, Chen, Yuh-Ing
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The multiple imputations based Kaplan–Meier estimator

Statistics & Probability Letters, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Inappropriate censoring in Kaplan-Meier analyses

The Lancet Oncology, 2021
Tito, Fojo, Richard M, Simon
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Kaplan–Meier Estimator

2003
Hongyu Jiang, Jason Fine
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Reconstructing Time-to-event Data from Published Kaplan–Meier Curves

The Stata Journal, 2017
Yinghui Wei, Patrick Royston
exaly  

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