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"I was interested in learning how to do a systematic review and meta‐analysis. I've done several courses but couldn't evolve to a complete analysis due to the limitations of available software. Then I became aware of "Comprehensive Meta‐Analysis". The program is very intuitive and the book "Introduction to Meta‐Analysis" is the most objective I've ever read in this topic. I have recommended to those interested in starting training in systematic review to begin by this book and software."

Ricardo Botelho, MD, Ph.D. - Post‐graduate course ‐ IAMSPE, São Paulo, Brazil

"Comprehensive Meta‐Analysis is a fantastic program that allows you to perform advanced meta‐analytic techniques with minimal effort. The graphics editor is especially versatile and allows you to produce high‐quality graphs with ease. Thankfully it doesn't require the complicated codes often necessitated by some statistical programs. On top of that I have found their customer service prompt and helpful and overall I'm very pleased to have purchased the software."

Dr. Richard Mc Gee

"A few years ago after a short survey looking for good software to perform meta-analyses I purchased the CMA and since then I'm using it and enjoying my choice. I think the software is very good, easy to use, and generates everything I need when performing meta-analyses, including the charts."

Dr. Ori Rogowski - Senior Physician, Internal Medicine, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel

"The Comprehensive Meta‐Analysis program greatly facilitates conducting quantitative research syntheses. Its graphical capabilities are unmatched and make impressive visual displays of cumulative research findings easy to create. It is user friendly, and its algorithms are well validated in the methodological literature. I recommend it highly."

Steven P. Brown - Bauer Professor of Marketing, C.T. Bauer College of Business, University of Houston

"One of the hardest things for non‐statisticians conducting meta‐analyses is to figure out how to combine data when the data are in different forms. Using continuous outcome as an example, one study might report before‐and‐after scores, and another might report change scores. Comprehensive Meta‐Analysis allows one to take data in any form and seamlessly converts it so that all the data can be included, or tells the meta‐analyst what additional information is necessary to complete the process. This one aspect of the program can save hours of time for non‐statisticians who are not used to converting data from one format to another."

Ian Shrier - McGill University, Canada