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Title
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Room
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Interpreting Health Policy and Outcomes Using Bayesian Methodology
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H-Grand Ballroom A
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Date / Time
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Sponsor
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Type
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08/08/2001
10:30 AM
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12:20 PM
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Cmte on Women in Statistics, Caucus for Women in Statistics, Section on Bayesian Stat. Sciences*, Section on Health Policy Statistics*
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Invited
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Organizer:
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J. Lynn Palmer, University of Texas
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Chair:
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J. Lynn Palmer, University of Texas
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Discussant:
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11:50 AM - Cindy L. Christiansen, Boston University
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Floor Discussion
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12:05 AM
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Description
In the information age, computing capabilities are greatly expanding, which has enable the application of Bayesian methodology to a much greater extent. The application of Bayesian methodology to health outcomes is a fairly recent development and addresses problems tht have not yet been adequately answered. Speakers will show that a possibly complex Bayesian methodology can be used to assure cleaner, more straightforward results less subject to misinterpretation. Four women who have specialized in this area, from a new graduate to those in the field for years, will discuss a spectrum of views from across the country.
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