This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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473
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Health Policy Statistics Section
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Abstract - #309108 |
Title:
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Implementation of a Kronecker Product Correlation Structure for the Analysis of Live-Donor Kidney Transplant Rates
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Author(s):
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Arwin Thomasson*+ and Hanjoo Kim and Justine Shults and Russell Localio and Harold Feldman and Peter Reese
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Companies:
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University of Pennsylvania and Forrest Labs and University of Pennsylvania and University of Pennsylvania and University of Pennsylvania and University of Pennsylvania
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Address:
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423 Guardian Dr., Philadelphia, PA, 19104,
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Keywords:
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renal transplant ;
quasi-least squares ;
Kronecker product ;
correlated data
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Abstract:
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Medical studies often yield data with multiple sources of correlation. For example, a quality-of-care measure applied to multiple transplant centers over multiple years could be correlated in two ways--the scores for each center could be correlated over time, and the center measurements could be correlated within regions. We present an approach for analysis of unbalanced multi-level correlated data that implements a Kronecker product (KP) structure with quasi-least squares (QLS). While previous researchers primarily implemented the KP structure for analysis of balanced data with a constant number of measurements per subject, our approach allows for consideration of unbalanced data. We implement our approach in an analysis of a standardized live-donor transplant rate that identifies characteristics of transplant centers that do not fully utilize live-donor kidney transplants.
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