This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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175
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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ENAR
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| Abstract - #309152 |
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Title:
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Selection of a Working Correlation Structure in a Pediatric Study of Renal Disease
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Author(s):
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Matthew White*+ and Justine Shults and Meena Thayu and Michelle Denburg and Mary Leonard
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Companies:
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University of Pennsylvania and University of Pennsylvania and The Children's Hospital of Philadelphia and The Children's Hospital of Philadelphia and The Children's Hospital of Philadelphia
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Address:
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507 Blockley Hall, Philadelphia, PA, 19104,
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Keywords:
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Quasi-Least Squares ;
Generalized Estimating Equations ;
Correlated Data
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Abstract:
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We consider a study in children with renal disease and implement a generalized estimating equation (GEE) and quasi-least squares (QLS) approach to demonstrate that the choice of working correlation structure to describe the pattern of association amongst the repeated measurements on the children can have an impact on the results. We compare several approaches for selection of a working correlation structure for GEE and QLS that have been proposed in the literature, via simulation and comparison of the analysis results for each structure.
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