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Activity Number:
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195
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2008 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #302484 |
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Title:
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Marginal Hazards Regression for Case-Cohort Studies with Multiple Disease Outcomes
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Author(s):
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Sangwook Kang*+ and Jianwen Cai
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Companies:
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The University of Georgia and The University of North Carolina at Chapel Hill
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Address:
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129A Paul D. Coverdell Center, Athens, GA, 30602,
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Keywords:
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case-cohort study ; marginal hazards models ; multiple disease outcomes ; multivariate failure times ; survival analysis ; weighted estimating equations
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Abstract:
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A case-cohort study design is widely used to reduce the cost of large cohort studies, especially when the disease rate is low. A key advantage of the case-cohort study design is its ability to use the same subcohort for several diseases. In order to compare the effect of a risk factor on different diseases, times to different events need to be modeled simultaneously. Valid statistical methods taking the correlations among the outcomes from the same subject into account need to be developed. To this end, we consider marginal proportional hazards regression model and propose an estimating equation approach for parameter estimation. We also consider the generalized case-cohort designs which do not require sampling of all the cases. Asymptotic properties and finite sample properties of the proposed estimators are investigated. The proposed methods are applied to the Busselton Health Study.
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