Fan Li, PhD
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About
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Associate Professor of Biostatistics
Biography
Dr. Fan Li is an Associate Professor in the Department of Biostatistics at the Yale School of Public Health. He received his PhD in Biostatistics from Duke University in 2019, and joined the Yale Biostatistics faculty in July, 2019.
Dr. Li’s research interests include statistical methods for randomized clinical trials, observational studies and a combination of both. He is an expert in the design, monitoring, analysis of parallel-arm, crossover and stepped-wedge cluster randomized trials, which are increasingly seen in pragmatic clinical trials embedded in the health care delivery systems. He has also contributed novel propensity score methods and software to estimate average causal effects with observational data, aimed at improving overlap and internal validity. His recent methods research include generalizability of randomized trials to external target populations, confirmatory or exploratory heterogeneity of treatment effects analyses, complex endpoints in cluster randomized trials, as well as novel study designs to address patient-centered clinical research questions. His methodological research has been supported by multiple NIH and PCORI grants/awards.
Appointments
Biostatistics
Associate Professor on TermPrimary
Other Departments & Organizations
Education & Training
- PhD
- Duke University, Biostatistics (2019)
Research
Overview
Medical Subject Headings (MeSH)
Academic Achievements and Community Involvement
Links & Media
News
- February 05, 2024
Patient Priorities Care Shows Potential for Improving Outcomes for Older Adults With Multiple Chronic Conditions
- March 21, 2022
Yale Center for Methods in Implementation and Prevention Science Faculty Member Dr. Fan Li Joins Editorial Board for the Journal Implementation Science
- March 16, 2022
Yale CMIPS Faculty Member Dr. Fan Li Receives PCORI Grant to Develop New Methods for Planning Cluster Randomized Trials
- September 10, 2021Source: NIH Collaboratory of Pragmatic Clinical Trials
Fan Li Receives PCORI Award to Study Methods for Cluster Randomized Trials