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Abstract Details
Activity Number:
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647
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 4, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Government Statistics
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Abstract - #300963 |
Title:
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Sample Size Determination for Longitudinal Binary Data
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Author(s):
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Kush Kapur*+ and Dulal Bhaumik and Charlene Tang and Kwan Hur and Thomas Moritz and Domenic J. Reda
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Companies:
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Hines Veteran Affairs and University of Illinois at Chicago and Hines Veteran Affairs and Veteran Affairs and Hines Veteran Affairs and Hines VA Hospital
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Address:
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5000 South 5th Avenue, Hines, IL, 60141-3030,
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Keywords:
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mixed-effects model ;
power analysis ;
Type I error
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Abstract:
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In this article we consider the problem of sample size determination for testing the group by time interaction parameter for two-level longitudinal mixed-effects logistic regression models. We derive a closed form solution for determining the necessary sample size accounting for attrition rates across time in order to achieve a power of 80%, 85% and 90% while strictly maintaining the Type I error rate (e.g. 5%). The method has been applied to sample size and power calculation in a Veteran Affairs CCTA study titled "Rivastigmine patch in Veterans with Cognitive Impairment Following Trauma Brain Injury". The presented approach lead to reduction in sample size requirement compared to other available methods.
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