"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

"I am a PhD Candidate and used your software to successfully complete my Master's thesis. I find the CMA software to be very user‐friendly; it was easy to learn how to use and has an excellent selection of options for analysis. I also find the customer support to be very helpful and timely. I would and have recommended the software to others."

Amanda Epp, M.Sc. - Doctoral Student, Clinical Psychology, University of Calgary, Depression Research Lab