Speaker: 

Fan Li, PhD
Yale University School of Public Health

Description:

The stepped-wedge cluster randomized design has received increasing attention in pragmatic clinical trials (PCTs) and implementation science research. Since the design’s introduction, a variety of mixed-effects model extensions have been proposed for the design and analysis of PCTs. In this talk, Dr. Fan Li of Yale University will provide a general model representation and regard various model extensions as alternative ways to characterize secular trends, intervention effects, and sources of heterogeneity. He will also review key model ingredients and clarify their implications for the design and analysis of stepped-wedge trials.

Registration required: 

https://www.prevention.nih.gov/education-training/methods-mind-gap/overview-statistical-models-design-and-analysis-stepped-wedge-cluster-randomized-trials