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Kaplan–Meier Integrals

2003
Publisher Summary The Kaplan–Meier (K–M) integrals are analogs of empirical integrals when the data are subject to right censoring. They may be viewed as basic statistics to which more complicated quantities may be traced back through linearization.
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Understanding Kaplan-Meier and Survival Statistics

The International Journal of Prosthodontics, 2013
This paper aims to explore the mathematics of Kaplan-Meier and survival statistics, explain how the mathematics are relevant for prosthodontic treatment planning, and provide advice for future presentation of such data.The mathematics of the Kaplan-Meier and related survival statistic formulas were explored with hypothetical data consisting of 100 ...
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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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Kaplan–Meier Estimator

2003
Hongyu Jiang, Jason Fine
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