"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

"My experience with Comprehensive Meta‐analysis is highly positive. The spreadsheet interfaces for data entry are very intuitive. They handle an astonishing wide array of indices and formats for effect sizes, including the possibility of entering them in the spreadsheet by copy‐and‐paste. The exploratory phase is easily performed thanks to a variety of facilities, as cumulative meta‐analysis, sensitivity analysis by the “one‐study‐removed” procedure, and subgroup analysis, among others. It covers all basic fixed and random effect models and provides high‐quality graphical outputs for reports. The tutorial and the manual are really helpful and friendly. In short, Comprehensive Meta‐analysis is my favorite tool both for performing and teaching meta‐analysis."

Professor Juan Botella - Autonomous University of Madrid