"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

"My experience with Comprehensive Meta‐analysis is highly positive. The spreadsheet interfaces for data entry are very intuitive. They handle an astonishing wide array of indices and formats for effect sizes, including the possibility of entering them in the spreadsheet by copy‐and‐paste. The exploratory phase is easily performed thanks to a variety of facilities, as cumulative meta‐analysis, sensitivity analysis by the “one‐study‐removed” procedure, and subgroup analysis, among others. It covers all basic fixed and random effect models and provides high‐quality graphical outputs for reports. The tutorial and the manual are really helpful and friendly. In short, Comprehensive Meta‐analysis is my favorite tool both for performing and teaching meta‐analysis."

Professor Juan Botella - Autonomous University of Madrid