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 have used Comprehensive Meta‐Analysis since I was a student and it has been the basis for dozens of meta‐analysis publications since then. The strengths of the software include its intuitive approaches to statistical issues, ease of use, and clear presentation of the data. Journals appreciate that important changes in figures can be made rapidly and clearly. This has also been an excellent tool for teaching students and colleagues about conducting meta‐analysis ‐ students enjoy the clarity of presentation and ease of use. With all the ease of use, it is important to note that the software allows a variety of statistical approaches that may be difficult to implement in other software, from choices of metaregression effects to presentations of heterogeneity. For my group, this software is indispensable."

Edward Mills PhD, MSc - LLM Canada, Research Chair, Faculty of Health Sciences, University of Ottawa


"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