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Title
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* ! Beyond the Simple Average: Adjusting for Heterogeneity and Bias in Meta-Analysis
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Date / Time / Room
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Sponsor
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Type
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08/12/2002
2:00 PM -
3:50 PM
Room: H-Murray Hill Suite A
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Biometrics Section*, Biopharmaceutical Section*, ENAR, Section on Health Policy Statistics*
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Topic Contributed
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Organizer:
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Christopher H. Schmid, New England Medical Center
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Chair:
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Jesse A. Berlin, University of Pennsylvania School of Medicine
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Discussant:
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3:25 PM - Joseph Cappelleri, Pfizer, Inc.
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Floor Discussion
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3:45 PM
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Description
When studies are combined into a meta-analysis, estimation of a common study effect may be inappropriate because it is biased by the possible exclusion of unpublished studies or because it is inaccurate to describe heterogeneous effects by a single number. This session presents new methods that address these issues in the context of the limited summary data often available for analysis. The talks are aimed at the applied statistician and discuss improvements over some commonly used techniques and limitations compared with methods that are used when more extensive data are available.
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