Abstract #301147

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JSM 2003 Abstract #301147
Activity Number: 133
Type: Contributed
Date/Time: Monday, August 4, 2003 : 12:00 PM to 1:50 PM
Sponsor: Biometrics Section
Abstract - #301147
Title: A Binary Partitioning Algorithm for Clustered Data
Author(s): Shenghui Tang*+ and Lynn Gerald and Bailey William
Companies: The University of Alabama at Birmingham and University of Alabama and University of Alabama
Address: 3045 English Oaks Cir., Birmingham, AL, 35226-3932,
Keywords: binary partitioning ; GEE ; CART ; clustered data
Abstract:

We investigate a binary partitioning algorithm for clustered data. The algorithm is based on the use of GEE to evaluate the performance of individual splits. Wald statistic from GEE is used in the evaluation process. A tree-based model was developed through the algorithm and tested to predict a positive tuberculin skin test among contacts to an active TB case.

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