Teaching information for CMA
"The program was easy to understand and exceptionally helpful for a non‐statistician doing metaanalyses. I encourage anyone who is interested in doing a meta‐analysis to test the software and see its power. The program has allowed me to publish important data in top‐tiered medical journals."
Jeffrey S. Berger, MD, MS, FACC - Assistant Professor of Medicine (Cardiology and Hematology), Assistant Professor of Surgery (Vascular Surgery), Director of Cardiovascular Thrombosis, New York University School of Medicine
"Being the lecturer for the course on meta‐analysis for the JSSS in Cambridge [the Social Science Research Methods Course programme, a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences], I am really forward looking forward to familiarising students with the programme. I found CMA unbelievably flexible‐‐and it wouldn't take students long to familiarise with it given how user‐friendly the programme is."
Dr. Maria M. Ttofi - Leverhulme and Newton Trust Fellow, Post‐doctoral Researcher, Institute of Criminology, University of Cambridge Research Fellow, Wolfson College