Version 2 software

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Comprehensive Meta-Analysis

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Comprehensive Meta-Analysis (CMA) is a powerful computer program for meta-analysis. The program combines ease of use with a wide array of computational options and sophisticated graphics.


"I recently taught an introduction to meta‐analysis course to graduate students from diverse disciplines including ecology, kinesiology, economics, forestry, veterinary medicine, family studies, and plant pathology. I planned to use another meta‐analysis software package, but learned about CMA one week before the first day of class. Given the variety of options available in CMA, I thought that CMA might be a better fit for my class. In one week, Michael Borenstein sent me the necessary supplementary materials to prepare me for including CMA in the course. CMA is very intuitive and easily accessible for broad meta‐analytic applications. Any questions about CMA were quickly and thoroughly answered. Moreover, the supporting textbook associated with CMA is a must have resource for anyone interested in meta‐analysis as it easily explains complicated analytical concepts. In short, CMA is a great software package for meta‐analysis. I will use CMA again the next time I teach my introduction to metaanalysis course."

Alan Wilson - Assistant Professor, Auburn University, Fisheries and Allied Aquacultures


"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