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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"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


"I'm a graduate student at NC State University, and recently I tried out CMA for my lab. For the record, it is awesome. My lab, Meta World, is specifically focused on meta‐analysis, so we've used a lot of programs both good and bad. CMA is by far the best we've tried in terms of ease of use. It is simple enough for a first time meta‐analyst to use, but the best part is the diversity of options for the more advanced user. It is amazingly easy to switch effects models and other aspects, to the point that it's fun to fiddle around with things to see the difference they make. The options for output are everything you'd need for publication, and they look a good sight better than what I would have come up with without CMA. It is the only software that had all the functionality I needed for my thesis, and without it I would be stuck writing my own code."

Jennifer London - Doctoral Student in I/O Psychology, NC State University