"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

"Our group has recently begun to conduct meta‐analyses within our area of research, i.e. psychooncology and health psychology, and we have found CMA extremely useful. CMA distinguishes itself from other available meta‐analysis software by the various options to explore and adjust for possible publication bias, as well as by providing several options to explore possible moderators, not only categorical but also continuous. We encourage our PhD students to conduct quantitative systematic reviews as a part of their dissertation whenever possible. The clear menu‐driven approach of CMA makes it easy to use for beginners, so that they can focus their energy on the analytical aspects of metaanalysis, rather than on the technical issues of using the software."

Bobby (Robert) Zachariae - Professor, dr.med., Psycho‐oncology Research Unit, Aarhus University Hospital, Denmark