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Abstract Details
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Activity Number:
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38
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Type:
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Contributed
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Date/Time:
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Sunday, July 31, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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ENAR
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| Abstract - #301508 |
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Title:
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Proportional Hazards Model for Competing Risks Data with Missing Cause of Failure
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Author(s):
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Seunggeun Hyun and Jimin Lee*+
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Companies:
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University of South Carolina at Upstate and The University of North Carolina at Asheville
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Address:
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CPO #2350 One University Heights, Asheville, NC, 28804-8511,
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Keywords:
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Cause-specific hazard function ;
Competing risks data ;
Inverse probability weighted estimator ;
Augmented inverse probability weighted estimator ;
Missing cause of failure
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Abstract:
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We consider the semiparametric proportional hazards model for the cause-specific hazard function in analysis of competing risks data with missing cause of failure. The inverse probability weighted equation and augmented inverse probability weighted equation are proposed for estimating the regression parameters in this model, and their theoretical properties are established for inference. Simulation studies demonstrate that the augmented inverse probability weighted estimator is doubly robust and the proposed method is appropriate for practical use. The methodology is illustrated with bone marrow transplant data.
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