"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

"CMA is very easy to use. That’s partly because of the manual and tutorial which take you through the analysis step by step. It’s also extremely versatile in terms of the type of input data it will accept (which is really valuable because with a meta‐analysis you have to take what data you can get). The output is comprehensive enough to permit you to interpret your effects, not merely report them."

Dr. Marie Blackmore - Research Coordinator, The Centre for Cerebral Palsy, Mount Lawley, WA, Australia