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Abstract Details
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Activity Number:
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190
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #302486 |
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Title:
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Competing Risks Modeling in the Presence of Left-Censored Observations
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Author(s):
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Yushun Lin*+ and Richard J. Kryscio
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Companies:
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University of Kentucky and University of Kentucky
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Address:
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, , KY, 40536,
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Keywords:
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competing risks ;
cumulative incidence function ;
Weibull regression model ;
proportional subdistribution hazards ;
left censored events
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Abstract:
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Death is a competing risk encountered when following a cohort of elderly subjects to dementia. In this manuscript we investigate the use of cumulative incidence functions (CIF) to analyze competing risks data. We propose an iterative Expectation-Maximization (EM) algorithm for nonparametrically estimating CIFs when one of the events (dementia) is subject to left and right censoring. To accommodate covariates in this situation the parametric proportional subdistribution hazard model due to Jeong and Fine (2007) is modified to assure that the sum of the underlying CIFs never exceeds one. Simulation studies support these modifications. An application to investigate the effect of genetics and education on the occurrence of dementia before death in the NUN Study is used to illustrate these results.
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