Teaching information for CMA

If you are interested in using CMA to teach a class in meta-analysis, please submit your e-mail here for more information.

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"I have been using Comprehensive Meta‐Analysis for the past five years and have enjoyed the many features of this software including the numerous options for fitting data into the spreadsheet for analysis of categorical and continuous data and the ease of labeling variables and study names. The built in analysis features are many and easy to apply including the test for heterogeneity and Egger’s test for publication bias. This software has allowed me to publish meta‐analyses with confidence in several peer reviewed journals including the Journal of Cardiology. Also I am often asked to give lectures on the use of meta‐analyses. My demonstrations include examples from this program. When asked by my peers for a reliable meta‐analysis package I do recommend this software."

Al Bartolucci, Ph.D. - Professor, Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama


"Comprehensive Meta‐Analysis is, in my view, the best meta‐analysis software on the market and a "must have" for any meta‐analyst. Before I used this software, I was convinced that specialized metaanalysis software was not necessary at all. At that time, I used my own Excel spreadsheets and SPSS to run meta‐analysis. In fact, I only tried CMA because I needed a way to make forest plots. Once I tried it, however, I was sold. I could not believe how user friendly it was and how much it could do. Suddenly not only was meta‐analysis more efficient, but, more importantly, I could run all types of analyses that previously were not available with the software I had been using. I have since used the program to conduct and publish several meta‐analyses. Given how great the program is, I require it when I teach my graduate meta‐analysis seminar. Students always seem surprised when they see how easy it is to use, as this is certainly not the norm in statistical software. Thus, our graduate students seem to greatly value CMA as a key resource for conducting meta‐analysis."

Seth M. Noar, Ph.D. - Professor, Hussman School of Journalism and Media, University of North Carolina at Chapel Hill