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.


"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


"The program in Comparative Effectiveness and Outcomes Research at Duke University conducts multiple systematic reviews and meta‐analyses each year for professional organizations as well as under both federal and industry sponsored research initiatives. While we use various programs tailored for specific individual projects including those developed in‐house, we have found Comprehensive Meta‐Analysis (CMA) to be a very facile, adaptable and yet comprehensive package meeting the needs for much of our research and generating publication‐quality graphics. My confidence in the analytic algorithms is buoyed by my knowledge of several of the developers of CMA and based on extensive comparison of results with other algorithms including our own. CMA is also an exceptional educational tool and universally embraced by trainees and young investigators initiating careers in evidence‐based medicine and statistical analysis."

Gary H Lyman, MD, MPH, FRCP (Edin) - Professor of Medicine and Director, Comparative Effectiveness and Outcomes Research, Duke University School of Medicine, and the Duke Comprehensive Cancer Center, Senior Fellow, Duke Center for Clinical Health Policy Research, Durham, NC