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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.


"I have used Comprehensive Meta‐Analysis since I was a student and it has been the basis for dozens of meta‐analysis publications since then. The strengths of the software include its intuitive approaches to statistical issues, ease of use, and clear presentation of the data. Journals appreciate that important changes in figures can be made rapidly and clearly. This has also been an excellent tool for teaching students and colleagues about conducting meta‐analysis ‐ students enjoy the clarity of presentation and ease of use. With all the ease of use, it is important to note that the software allows a variety of statistical approaches that may be difficult to implement in other software, from choices of metaregression effects to presentations of heterogeneity. For my group, this software is indispensable."

Edward Mills PhD, MSc - LLM Canada, Research Chair, Faculty of Health Sciences, University of Ottawa


"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