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Fan Li, PhD

Assistant Professor of Biostatistics

Contact Information

Fan Li, PhD

Office Location

Appointments

Biography

Dr. Fan Li is an Assistant 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.

Education & Training

  • PhD
    Duke University, Biostatistics (2019)

Honors & Recognition

AwardAwarding OrganizationDate
Early Career Investigator Research AwardYale School of Public Health2022
Student Paper AwardBiometrics Section - American Statistical Association2019
Chancellor’s Award for Research ExcellenceDuke University School of Medicine2018
Distinguished Student Paper AwardInternational Biometric Society (ENAR)2018
Student Travel Award11th International Conference on Health Policy Statistics2015

Professional Service

OrganizationRoleDate
Epidemiologic MethodsEditor-in-Chief2024 - Present
Implementation ScienceEditorial Board Member2022 - Present
Clinical Trials (Journal of the Society for Clinical Trials)Associate Editor2020 - Present
Statistics in MedicineAssociate Editor2020 - Present

Departments & Organizations