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 - #307483 |
Title:
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Combining Information on Adjuvant Cancer Therapies from Multiple Sources to Correct Misreporting
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Author(s):
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Yulei He*+ and Alan Zaslavsky
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Companies:
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Harvard Medical School and Harvard Medical School
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Address:
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, , 02115,
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Keywords:
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Adjuvant therapy ;
Cancer ;
Bayesian Hierarchical model ;
Misreporting ;
Multiple imputation ;
Multivariate outcome
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Abstract:
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Measures of receipt of adjuvant therapies (chemo- and radiation therapy) are important variables in studies of patterns of cancer care, but no single source reports these therapies with complete accuracy. The Cancer Care Outcomes Research and Surveillance (CanCORS) study collected these variables from multiple sources including a patient survey, medical records abstraction, and cancer registry databases. We first estimate the patterns of misreporting from the survey and registry using medical records as the gold standard. Further assuming none of the sources is the gold standard, we propose to impute the true therapy status using Bayesian hierarchical models, synthesizing data from all sources while correcting the misreporting and incorporating the correlations among them. Valid analysis of the therapy variables can then then be based on multiply imputed data.
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