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Abstract Details
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Activity Number:
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596
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Type:
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Invited
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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WNAR
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| Abstract - #300112 |
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Title:
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Quantile Residual Life Under Competing Risks
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Author(s):
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Jong-Hyeon Jeong*+
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Companies:
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University of Pittsburgh
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Address:
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318B Parran Hall, Pittsburgh, PA, 15261,
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Keywords:
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censored survival data ;
cumulative incidence ;
competing risks ;
minimum dispersion ;
quantile residual life ;
regression
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Abstract:
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The concept of residual life has been used for many years by demographers under the name of life expectancy. In medical research, the residual life analysis could provide useful information about the effect of important prognostic factors on the distribution of remaining lifetimes, e.g. at several years after the initial treatment, allowing for prediction of a patient's remaining life years that could be prolonged by a new secondary therapy. In this talk, first the quantiles are defined for the cumulative incidence function of the residual life distribution under competing risks, and then a two-sample inference procedure is considered to compare the cause-specific quantile residual lifetimes, which is finally extended to a regression setting. Simulations results are presented to summarize performance of the proposed estimators and statistics. The methods are illustrated with large datasets from phase III breast cancer studies.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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