Meta Analysis: A Tool to ‘settle’ disputes in empirical studies

The UAI hosted a webinar on Meta Analysis USing Stata on Wednesday, March 1. The webinar was conducted by Dr. Chuck Huber, who is the Director of Statistical Outreach at StataCorp and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health as well as the Biostatistics Department at the New York University’s School of Global Public Health.  To watch the recording of the webinar, please click HERE.

Meta-analysis is a statistical technique for combining the results from multiple similar studies. The talk will provide a brief introduction to meta-analysis and will demonstrate how to perform meta-analysis in Stata. The -meta- command offers full support for meta-analysis, from computing various effect sizes and producing basic meta-analytic summaries and forest plots to accounting for between-study heterogeneity and potential publication bias. Examples demonstrating how to conduct meta-analysis within Stata will be provided. These examples will focus on the interpretation of meta-analysis under various models, meta-regression, subgroup analysis, small-study effects and publication bias, and various types of forest, funnel, and other plots.