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Abstract Details
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Activity Number:
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292
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #303317 |
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Title:
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One Weighted Complete-Case Method for Competing Risks Model with Missing Cause of Failure
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Author(s):
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Xiongwen Tang*+ and Ying Zhang
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Companies:
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University of Iowa and University of Iowa
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Address:
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10 Village Dr APT 7, North Liberty, IA, 52317,
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Keywords:
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competing risks ;
weighted ;
complete-case ;
multiple imputation ;
proportional hazards
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Abstract:
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We study the proportional hazards model to analyze the competing risks data, where the cause of failure could be missing due to informative reasons. The possible causes of failure can be generalized as two types: one for causes with primary interest and one for the others. The proportional hazards model with different baseline hazards and regression coeffients is specified for each cause type respectively. A weighted complete-case (WCC) method is studied by assuming a parametric model for the missing mechanism. Asymptotic properties have been further explored. We finally compare our WCC method to the ones proposed in Goetghebeur and Ryan (1995) and Lu and Tsiatis (2001) by showing an example of breast cancer data from ECOG study E1178.
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