"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

"The combination of CMA software and Introduction to Meta‐Analysis text has proven extremely valuable in our work with medical faculty. The software is both easy to use and versatile in the various types of data that can be analyzed. The text covers the material from the ground up with useful information for both the newcomer and the experienced analyst."

Jason Brinkley, Ph.D. - Department of Biostatistics, East Carolina University