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.

Valid e-mail is required.

Please provide the university / organization, the approximate class size, and the course duration below.

Details are required.

"CMA is a formidable tool for conducting sophisticated meta‐analyses in the domain of cognitive and behavioral sciences. As an early adapter of CMA I am still amazed about its flexibility in data storing, data processing, and its many options for validity checks of meta‐analytic outcomes such as trim‐and‐fill and other state‐of‐the‐art ways to test the influence of unpublished papers. The flexibility of CMA to exchange data with Excel, SPSS, and other statistical software is a major asset. I also taught courses on meta‐analysis with the student version of CMA available for the graduate students, and it has been a real success as CMA makes meta‐analysis transparent as well as motivating for students with a basic training in statistics."

Marinus H. van IJzendoorn - Centre for Child and Family Studies, Rommert Casimir Institute of Developmental Psychopathology, Institute of Education and Child Studies, Leiden University, The Netherlands


"We had no knowledge on meta‐analyses and were somewhat confused by the number of programs available. Most of them were not easy to use, not insightful and required a priori knowledge of metaanalyses statistics. There was one exception: Comprehensive Meta‐analysis. We downloaded the software and went through the easy‐to‐use tutorial. Within an hour we were performing our own metaanalysis! Our analysis was verified by our statistical department with excellent results, giving us further confidence to continue our analysis and resulting in an excellent paper in the top journal on pain research: Niesters et al., Do Sex Differences Exist in Opioid Analgesia? A Systematic Review and Meta‐ Analysis of Human Experimental and Clinical Studies. Pain, 2010, in press, doi:10.1016/j.pain.2010.06.012."

Albert Dahan, MD, PhD & Marieke Niesters, MD, MSc - Department of Anesthesiology, Leiden University Medical Center, Leiden, The Netherlands