This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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291
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract - #307856 |
Title:
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A Deaggregating Model for the Semi-areal Data with a Bivariate CAR Prior
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Author(s):
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Ye Liang*+ and Dongchu Sun and Zhuoqiong He and Mario Schootman
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Companies:
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University of Missouri and University of Missouri and University of Missouri and Washington University in St. Louis
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Address:
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146 Middlebush Hall, Columbia, MO, 65211,
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Keywords:
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quality of life ;
deaggregating model ;
bivariate spatial model ;
conditional autoregressive model ;
Markov Chain Monte Carlo
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Abstract:
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The quality of life (QOL) of cancer survivors is such a topic that is concerned by epidemiologists, medical care researchers and public health policy makers. Researchers hope to identify a geographical trend of the QOL. The quantitative evaluation is measured through survey questions, thus individual information available. The traditional data model is usually designed for the aggregated data. A deaggregating data model is proposed to retain the individual information. A conditional bivariate CAR structure is derived from the decomposition of Wishart random matrix, which is specified for the spatial effect. The setting has a clear interpretation, and is computationally accessible. The model can be applied by public health researchers without programming difficulties.
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