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


"I’ve been using Comprehensive meta‐analysis for some time now and I find it a very user‐friendly and indeed comprehensive software when compared to other software. Some meta analysis functions are present in the latest version of NCSS (Number Cruncher Statistical System), but much less, as this is a more general statistical package; specific meta analysis software like Revman and MIX are less easy to use. Especially in combination with the online course on meta analysis of Michael Borenstein, this software can be warmly recommended without reservation."

JWG Jacobs - Associate Professor, Houten, Netherlands