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 was worrying whether I can understand this content well before I attended the course. However, this fear vanished while I participated in the course. I love the teaching style of the instructor, very efficient, very knowledgeable, and very helpful. The content of the course is very helpful, covering the major issues and even further a range of topics. I enjoyed the course very much and I learned a lot from it. I'm going to use what I have learned and hopefully to come back for an advanced course (if any) in the future."
Junwen Chen - Australian National University - Sydney 2020
"I truly appreciated the course. It was very clear, but also very thorough. It was also very clear when it comes to fallacies to take into consideration, when you are publishing a meta-analysis. I can really recommend this course to everybody who are working with or plan to work with Meta-Analysis."
Monica Melby-Lervåg - Professor University of Oslo