"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 recently taught an introduction to meta‐analysis course to graduate students from diverse disciplines including ecology, kinesiology, economics, forestry, veterinary medicine, family studies, and plant pathology. I planned to use another meta‐analysis software package, but learned about CMA one week before the first day of class. Given the variety of options available in CMA, I thought that CMA might be a better fit for my class. In one week, Michael Borenstein sent me the necessary supplementary materials to prepare me for including CMA in the course. CMA is very intuitive and easily accessible for broad meta‐analytic applications. Any questions about CMA were quickly and thoroughly answered. Moreover, the supporting textbook associated with CMA is a must have resource for anyone interested in meta‐analysis as it easily explains complicated analytical concepts. In short, CMA is a great software package for meta‐analysis. I will use CMA again the next time I teach my introduction to metaanalysis course."

Alan Wilson - Assistant Professor, Auburn University, Fisheries and Allied Aquacultures