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Comprehensive Meta-Analysis

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Comprehensive Meta-Analysis (CMA) is a powerful computer program for meta-analysis. The program combines ease of use with a wide array of computational options and sophisticated graphics.


"Comprehensive Meta‐Analysis is a fabulous program for research synthesis, combining ease of use with advanced features not available in standard statistical packages or competing stand‐alone products. The program is ideal for independent analysis or reanalyzing data from another published review (including Cochrane reviews) to explore subgroups, moderator variables, and clinically relevant measures of effect size. Forest and funnel plots can be easily created and customized for publicationquality graphics. As editor in chief of Otolaryngology – Head and Neck Surgery, I find the program indispensable for preparing a quarterly installment, The Cochrane Corner, which highlights a relevant Cochrane review and provides expert commentary to aid clinicians in applying and understanding the results. I strongly recommend this program to novice and experienced meta‐analysts alike."

Richard M. Rosenfeld, MD, MPH - Professor and Chairman of Otolaryngology, SUNY Downstate Medical Center, Brooklyn, NY, Journal Editor and Chair, Guideline Development Task Force, American Academy of Otolaryngology – Head and Neck Surgery


"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