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Abstract Details
Activity Number:
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572
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Health Policy Statistics
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Abstract - #302874 |
Title:
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The Peters-Belson Method for Assessing Health Care Disparities, Extended to Survival Analysis
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Author(s):
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Lynn Eberly and James S. Hodges*+ and Donna Z. Bliss and Kay Savik and Olga Gurvich and Susan L. Harms and Christine A. Mueller
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Companies:
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University of Minnesota and University of Minnesota and University of Minnesota and University of Minnesota and University of Minnesota and University of Minnesota and University of Minnesota
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Address:
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Div of Biostatistics,, Minneapolis, MN, 55455,
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Keywords:
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disparities ;
survival analysis ;
Peters-Belson method
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Abstract:
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The Peters-Belson method was developed for quantifying and testing disparities between groups, using linear regression to compute group-specific observed and expected outcomes. It has since been extended to logistic regression for binary outcomes. For an NIH-funded project assessing racial/ethnic disparities in nursing home care (the REDSKIN Study), we extended the Peters-Belson approach to survival analysis, including stratified analyses. The extension uses the theory and methods of expected survival based on Cox regression in a reference population, as developed in Therneau & Grambsch (Modeling Survival Data, 2000; Springer; Chapter 10). We used the survival package in the R system to do computations; Therneau & Grambsch give a SAS macro that could be adapted readily. We describe the extension, show how we applied it in the REDSKIN Study, and discuss some issues in implementing it.
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