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Activity Number: 212652
Type: Professional Development
Date/Time: Tuesday, August 2, 2016 : 1:00 PM to 5:00 PM
Sponsor: Health Policy Statistics Section
Abstract #321893
Title: Meta-Analysis: Combining the Results of Multiple Studies (ADDED FEE)
Author(s): Christopher Schmid* and Thomas Trikalinos*
Companies: Brown University

Meta-analysis enables researchers to synthesize the results of multiple studies designed to determine the effect of a treatment, device, or test. The information explosion and the movement toward the requirement of evidence to support policy decisions has promoted the use of meta-analysis in all scientific disciplines. Statisticians play a major role in meta-analysis because analyzing data with few studies and many variables is difficult. In this workshop, we introduce the major principles and techniques of statistical analysis of meta-analytic data. Examples of published meta-analyses in medicine and the social sciences will be used to illustrate the various methods.

Authors who are presenting talks have a * after their name.

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