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