Version 2 software

Important: Version 2 Users

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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 Version 2 is really an easy‐to‐use software. It offers you a broad range of statistical, analytical and graphic capabilities to ensure valid meta‐analysis. It is accompanied by a selfexplanatory manual and tutorial. For anyone considering a faster and complete performance of metaanalysis, this software would be a clear first choice. In addition, the book and the online course “Introduction to Meta‐analysis” have been ideal resources in my case, for a complete understanding of this approach. Both strongly recommendable…!!!."

Dr. Miguel Santibáñez Margüello, M.D., PhD - Researching Support Unit, IFIMAV – Fundación Marques de Valdecilla, Cantabria University, Nurse School, Santander Spain


"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