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Jackknifing the Kaplan-Meier survival estimator for censored data : simulation results and asymptotic analysis

descriptionPublicationkeyboard_double_arrow_right External research report 07 Mar 2013Publisher:Monterey, CA; Naval Postgraduate School
Authors: Gaver, Donald Paul; Miller, R. G.;

handle: 10945/29939

Jackknifing the Kaplan-Meier survival estimator for censored data : simulation results and asymptotic analysis

Abstract

The Kaplan-Meier estimate is a non-parametric maximum likelihood estimate for the probability of equipment of human survival. This report describes a jackknife confidence limit procedure for probability of survival, based on K.-M., and describes confidence limit properties by simulation and by asymptotic analysis. (Author)

http://archive.org/details/jackknifingkapla00gave

Naval Postgraduate School, Monterey, CA

N0001482WR20017

Keywords

jackknife method, reliability, non-parametric estimates, MATHEMATICAL OPTIMIZATION.INTEGER PROGRAMMING.COMPUTATIONAL COMPLEXITY., survival probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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