Version 2 software

Important: Version 2 Users

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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


"We perform a variety of meta‐analyses for academic, regulatory, and international clients. Each presents a different set of challenges regarding study design and outcome measurement. We have found CMA to be invaluable in this work. The ability of the software to capture a variety of data elements (study design, multiple outcomes, covariates/confounders) and present details of computations is important in the credibility of our work. The ease of use and ability to produce graphics in a variety of formats aids in preparation of the report. In many instances, we are required to replicate the results of CMA in another package (e.g., SAS). We have always found the support staff at CMA very helpful in these replications and the results of CMA have been replicated in every instance. CMA is a great tool in the scientific credibility of our meta‐analytic studies."

Donna F. Stroup, PhD, MSc - Data for Solutions, Inc.