"I have conducted several meta‐analyses over the past several years, and Comprehensive Meta‐Analysis has been the main software I have relied on. It is "user friendly" and it provides a wide range of options to fit the different types of effect size information found in different types of studies. Most importantly, I know I can rely on the statistical formulas at the foundation of the software, due to the top‐notch development team for CMA."

Frank Pearson

"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