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 workshop 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

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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Common Mistakes in Meta-Analysis and How to Avoid Them

Researchers often use the I² index to quantify the dispersion of effect sizes in a meta-analysis. Some suggest that I² values of 25%, 50%, and 75%, correspond to small, moderate, and large amounts of heterogeneity...

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About the Workshop

The workshop is based on the best-selling book Introduction to Meta-Analysis (Wiley, 2009). 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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Workshop Testimonials

	The workshop on meta-analysis you presented at CDC was incredibly helpful. It provided us with basic and also up-to-date knowledge and skills to critique and perform meta-analyses. Nicole Crepaz at CDC
	A very clear, usable way to approach meta-analysis. As a non-statistician, I found this course very understandable and applicable to my work in systematic reviews. Dr. Borenstein has a gift of being able to clearly explain difficult concepts. This is a fantastic course! Dru Riddle, PhD, CRNA, Texas Christian University, Fort Worth, Texas USA, School of Nurse Anesthesia

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