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Abstract Details

Activity Number: 602
Type: Topic Contributed
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #306280
Title: Application of Bayesian Nonparametric Models in Comparative Effectiveness Research
Author(s): Gary Rosner*+
Companies: The Johns Hopkins University
Address: 550 North Broadway, Baltimore, MD, 21205, United States
Keywords: Bayesian nonparametrics ; Comparative effectiveness research ; Meta-analysis
Abstract:

The US Food and Drug Administration has recently established an initiative: the Partnership in Applied Comparative Effectiveness Science (PACES). With PACES, the FDA plans to establish centers that will use data compiled by the agency "to form an enhanced standardized database" and provide strategies for using comparative effectiveness research (CER) at the FDA. A team of researchers at the Johns Hopkins University received FDA PACES funding to develop methodology for use in CER. One project is developing the methodology to apply a particular Bayesian nonparametric model to allow the synthesis of information from disparate sources. In this talk, I will provide an overview of this project and discuss how Bayesian nonparametric models may aid CER.


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