"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 used Comprehensive Meta‐Analysis (CMA) to help me analyze research questions of my dissertation. Without CMA, I won't be able to complete 'two folders' of analysis on time. I would also like to thank the team of CMA to help me make clear problems I encountered. My dissertation earned the annual dissertation award of my school. I would like to share this honor with the CMA and Dr. Borenstein, a humorous and sincere scholar."

Yueh‐Yen Fang, Ph.D., RN - Assistant Professor, Fooyin University, Taiwan