Course » Instructor
Michael Borenstein, PhD
Director, Biostat, Inc.
Associate Professor, Albert Einstein College of Medicine (1990-2001)
Director of Biostatistics, Hillside Hospital, Long Island Jewish Medical Center (1982-2002)
Biostat100@GMail.com
Michael Borenstein is the co-author (with Larry Hedges, Julian Higgins, and Hannah Rothstein) of the text Introduction to Meta Analysis (Wiley, 2009, 2021). He is also the author of the text Common Mistakes in Meta-Analysis and How to Avoid Them. A PDF of this book may be downloaded here for free.
Dr. Borenstein has published numerous papers on meta-analysis and contributed chapters to texts on meta-analysis and systematic reviews. He is the primary developer of the software Comprehensive Meta Analysis (CMA) which will be used in this course. This software was developed with funding from the National Institutes of Health in the United States, in collaboration with experts from the US, the UK, and Australia. It was initially published in the year 2000 and is now in its fourth major release. The software is used by tens of thousands of researchers throughout the world.
Dr. Borenstein has been the primary investigator on numerous grants from the National Institutes of Health (NIH) to develop methods and software for conducting and teaching meta- analysis. He serves as a reviewer for meta-analyses submitted for publication. He is a founding member of the Society for Research Synthesis Methodology, and served as its president in 2017-2018. Dr. Borenstein has been teaching workshops on meta-analysis since 2005 at numerous venues including the National Institutes of Health, the Centers for Disease Control, the Federal Drug Administration, and the Karolinska Institute, as well as scores of workshops open to the public.
Select publications may be downloaded here
Testimonials
"I really enjoyed this workshop. The organization of case studies and the ability to follow along using Comprehensive Meta-Analysis 3.0 have made this an outstanding learning experience. Dr. Borenstein has that rare quality of being able to discuss very complex topics in understandable language. He answers questions very cordially. In short, this has been a great learning experience."
Alan J. Lipps - Abilene Christian University - Los Angeles 2019
"Michael clearly explained some of the basic concepts of meta-analysis (e.g. Random vs. fixed effects models; interpreting heterogeneity scores; subgroup analysis) in a way that made these sometimes-confusing issues clear. He also exposed some of the myths and mistakes that are common in many published Meta-Analysis."
Christina Pallitto - WHO