Teaching information for CMA

If you are interested in using CMA to teach a class in meta-analysis, please submit your e-mail here for more information.

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"I have used Comprehensive Meta‐analysis as the primary course software for a doctoral‐level course on systematic review and meta‐analysis methods which I have taught at Columbia University. The software, documentation, and tutorial materials have made the teaching and learning of meta‐analysis methods stimulating, efficient, and enjoyable. While the methods of meta‐analysis can be daunting to students, this program and supporting materials provide clear guidance and hands‐on experience which greatly enrich the learning process. Based on my experience I think that Comprehensive Meta‐analysis should be required in any course dealing with the subject."

Edward J Mullen - Willma & Albert Musher Professor, Columbia University


"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