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CE_28C Tue, 8/2/2016, 1:00 PM - 5:00 PM CC-W471
Meta-Analysis: Combining the Results of Multiple Studies (ADDED FEE) — Professional Development Continuing Education Course
ASA , Health Policy Statistics Section
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.
Instructor(s): Christopher Schmid, Brown University, Thomas Trikalinos, Brown University
 
 
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