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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 - #300870 |
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Title:
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A Shared-Parameter Model for the Estimation of Longitudinal Concomitant Intervention Effects
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Author(s):
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Wenhua Jiang*+ and Colin O. Wu and Xin Tian
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Companies:
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The Johns Hopkins University and National Heart, Lung, and Blood Institute and National Heart, Lung, and Blood Institute
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Address:
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School of Medicine, Columbia, MD, 21044,
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Keywords:
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concomitant intervention ;
longitudinal data analysis ;
change-point model ;
shared-parameter model ;
clinical trial ;
depression
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Abstract:
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We investigate a change-point approach for modeling and estimating the regression effects caused by a concomitant intervention in a longitudinal study. Since a concomitant intervention is often introduced when a patient's health status exhibits undesirable trends, statistical models without properly incorporating the intervention and its starting time may lead to biased estimates of the intervention effects. We propose a shared-parameter change-point model to evaluate the pre- and post-intervention time trends of the response, and develop a likelihood-based method for estimating the intervention effects and other parameters. Application and statistical properties of our method is demonstrated through a longitudinal clinical trial in depression and heart disease and a simulation study.
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Authors who are presenting talks have a * after their name.
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