This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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458
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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Abstract - #308428 |
Title:
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Cause-Specific Association Measures for Multivariate Competing Risks Data
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Author(s):
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Yu Cheng*+ and Hao Wang
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Companies:
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University of Pittsburgh and University of Pittsburgh
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Address:
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Department of Statistics, Pittsburgh, PA, 15260,
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Keywords:
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Cause-specific hazard functions ;
Cross hazard ratio ;
Multivariate competing risks
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Abstract:
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We propose a pseudo-likelihood estimator for an extended cause-specific cross hazard ratio (Bandeen-Roche & Liang 2002) from bivariate competing risks data to more complicated family structures, e.g., exchangeable sibship data and multiple mother-child pairs. We also adapt an equivalent association measure based on bivariate hazards functions (Cheng & Fine 2008) and develop a plug-in estimator. This greatly broadens their applications. The asymptotic properties of the two estimators are established by using empirical processes techniques and practical performances are compared with that of a U-statistic estimator (Cheng & Fine 2009) by simulation studies. The practical utility of the three approaches is illustrated in an analysis of the Cache County Study of Dementia.
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