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As a professor of statistics, I was unsure whether to take the initial online course in meta-analysis, thinking that it might either be too dense and jargon-filled to be interesting (given Dr. Borenstein’s impressive credentials and knowledge base) or too basic (given that I was already teaching a course). As I finish the series now, however, I am awestruck by the quality of this offering. Dr. Borenstein is quite simply a master teacher, so he offers complex material in a completely comprehensible form, the best of both worlds. I picked up details on the statistics, the use of CMA, and the theory behind the statistics, but I also (hopefully) will model the style and clarity of his teaching style in my own work in the future. I look forward to the intermediate and advanced sessions.
– Constance J. Dalenberg, PhD
Alliant International University - Online Workshop
This course was fantastic. A good balance of theory and practice really helped to bring my current understanding of meta-analysis to a higher level. It helped to smooth out some rough edges that will guide my future research.
– Liz Speelman
Georgia College & State University
Unraveled some of the mysteries of meta-analysis with practical "hands-on" examples, that could be easily understood by those of us who are not statisticians.
– Caryl Nowson
Deakin University, Australia
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
Excellent way of approaching meta-analysis, rendering it very simple using a very nice and user-friendly software. Everything is in it!
– Sylvain Larroque
Senior Biostatistician, Shire
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
Great course material; great lectures by Michael, well prepared and clear; great interactive opportunities with Michael; very informal and friendly atmosphere that makes you listen and dare to ask questions; perfect mix of lectures and practice.
– Karin Jensen
Harvard Medical School
Having written meta-analysis in the past, but being a clinician/academic; the course has been excellent for me. It was pitched at a level I could follow, helped me understand approaches I use and common pitfalls. I would recommend it for any clinical academic who is interested in conducting meta-analysis.
– David Ekers
Durham University
I used to work with meta-analysis and I have never found any other materials more brilliant than this 2 day course. The lecturer Dr. Borenstein is very enthusiastic in helping out with students, clarifying their concepts personally and he welcomed all sorts of questions in a manner that the students will not feel embarrassed. This course is good for both beginners as well as professionals who have already mastered some skills in meta-analysis.
– Evelyn Wong
Castle Park Hospital Hong Kong
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 About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA.
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Who Should Attend
This course is intended for researchers, clinicians, educators, statisticians, graduate students, and anyone with an interest in understanding or performing meta-analyses. Our approach is primarily conceptual rather than mathematical, and participants with only one or two statistics classes in their background should be able to fully understand the materials.
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Software Testimonials
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Comprehensive Meta-Analysis (CMA) is one of those rare tools in the research arsenal that does what it is purports to and makes both the process and output understandable. I have used CMA for seven years in my own meta-analytic work and in EBP workshops and courses. The ease of learning the program application and the resulting output make for a wonderful data analysis and learning tool.
Chad Nye, PhD, Executive Director, University of Central Florida, Center for Autism & Related Disabilities, Orlando, FL
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About the Meta-Analysis Course
The workshop is based on the books shown here. Learn to understand a meta-analysis, to perform a meta-analysis, and to avoid common mistakes in meta-analysis. The lectures will focus primarily on concepts and practical applications rather than formulas. You will learn to understand a published meta-analysis. You will also learn how to perform simple meta-analyses and more advanced analyses using the software Comprehensive Meta-Analysis.
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