Dr. Fan Li, a member of the NIH Pragmatic Trials Collaboratory’s Biostatistics and Study Design Core, will present “Methods for Designing Cluster Randomized Trials to Detect Treatment Effect Heterogeneity” during IMPACT Grand Rounds on Thursday, February 16, at 12:00 pm eastern. IMPACT Grand Rounds is hosted by the NIA IMPACT Collaboratory.

Fan Li, PhD, is an assistant professor in the Department of Biostatistics at Yale School of Public Health, and faculty member in the Center for Methods in Implementation and Prevention Science and the Yale Center for Analytical Sciences. He is the principal investigator of a Patient-Centered Outcomes Research Institute (PCORI)–funded methods award that investigates new study planning methods and software for testing treatment effect heterogeneity in cluster randomized trials.