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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"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


"As a first‐year graduate student with minimal knowledge of meta‐analysis at the time, I found Comprehensive Meta‐Analysis to be an incredibly user‐friendly program. I began using Comprehensive Meta‐Analysis while reading Lipsey & Wilson's (2001) Practical Meta‐Analysis and found it easy to transition from the conceptual and practical issues discussed in their text to the procedures available in your program. My mentor and I continue to use your program as we prepare my Master's thesis for publication, and our use of this software has undoubtedly facilitated our progress. Best of luck with the future development of Comprehensive Meta‐Analysis and with your ongoing scholarship."

Jonathan Shaffer, PhD - Postdoctoral Fellow, Center for Behavioral Cardiovascular Health, Columbia University Medical Center