This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 53
Type: Invited
Date/Time: Sunday, August 1, 2010 : 4:00 PM to 5:50 PM
Sponsor: IMS
Abstract - #305923
Title: Confidence Distributions and a Unifying Framework for Meta-Analysis
Author(s): Minge Xie*+
Companies: Rutgers University
Address: 110 Frelinghuysen Road, Piscataway, NJ, 08854,
Keywords: confidence distribution ; meta-analysis ; robust methods

This talk presents a unifying framework, as well as robust meta-analysis approaches, for combining information from independent sources. The device used in this combination is a confidence distribution (CD), which uses a distribution function, instead of a point (point estimator) or an interval (confidence interval), to estimate a parameter. A CD function contains a wealth of information and it is a useful device for combining information from different sources. This CD combining framework not only unifies existing meta-analysis approaches, but also leads to development of new methods. We illustrate that the CD combining framework can include as special examples both the classical p-value combination and modern model-based meta-analysis approaches. We also develop under the framework two new robust meta-analysis approaches, with supporting theories. Numerical examples are also included.

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