Course  »  Who should take this course

Basic course

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.

Advanced course

The main prerequisite for the advanced course is the basic course.  The first two modules in the advanced course deal with subgroup analysis and meta-regression.  To fully understand these modules, you will need to be familiar with analysis of variance and multiple regression in primary studies.

Is this course too basic for me?

Probably not. While the course is geared to researchers, statisticians who attend our workshops invariably report that they found the course well worth their time. The overwhelming majority of meta-analyses contain some serious mistakes. You will learn what these mistakes are and how to avoid them in your own work.  Researchers and clinicians with relatively little statistical background should be able to follow all materials without any problem. At the same time, statisticians are likely to have a series of "Aha" moments and walk away with a thorough grasp of the statistics underlying the concepts.

Is the course too advanced for me?

Probably not. The course assumes only basic knowledge of research techniques and no knowledge of meta-analysis. The course is intended for researchers rather than statisticians. I focus on a conceptual approach to each issue and use practical examples from published analyses. Statistical formulas are typically addressed separately and explained in a way that focuses on the logic, rather than the math.

researchers
Testimonials

"Thank you very much for the wonderful workshop at Kent State University. I really enjoyed it. I particularly like the way you organize the course, starting with the concept, then applications and examples, and finally common mistakes."

Jingzhen (Ginger) Yang, PhD, MPH - Associate Professor, Department of Social and Behavioral Sciences, College of Public Health, Kent State University


"The course has enlightened me a lot about meta-analysis. The way I look at a meta-analysis is completely different as this workshop has changed my perspective about meta-analysis completely. It is a kind of an eye opener for me. The course helped me understand the concepts of meta-analysis very clearly."

Rama Krishna Guggilla - Medical University of Bialystok - Los Angeles 2019

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