"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

"I am impressed with the ease or simplicity of the Comprehensive Meta‐Analysis, not only in data entry but also the data generated. Unlike some of the free software available for meta‐analysis, I found the Comprehensive Meta‐Analysis user‐friendly, generating clear graphs and effect sizes. I took a long time to work out some of the free software available by some of my colleagues and found them very userunfriendly, confusing, and the graphs generated not easy on the eye. After chancing on Comprehensive Meta‐Analysis during a Google search and having a go at it during the free trial, I was keen to get my hands on it and have recommended it to some of colleagues. It is definitely worth getting it as it makes meta‐analysis non‐daunting and non‐scary especially for students pursuing their Masters or PhDs."

Li Whye Cindy, NG