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Fan Li

Professor of Statistical Science
Statistical Science
Box 90251, Durham, NC 27708-0251
122 Old Chem Bldg, Durham, NC 27708

Overview


My main research interest is causal inference and its applications to health, policy and social science. I also work on the interface between causal inference and machine learning. I have developed methods for propensity score, clinical trials, randomized experiments (e.g. A/B testing), difference-in-differences, regression discontinuity designs, representation learning. I also work on Bayesian analysis and statistical methods for missing data. I am serving as the editor for social science, biostatistics and policy for the journalĀ Annals of Applied Statistics.

Current Appointments & Affiliations


Professor of Statistical Science · 2021 - Present Statistical Science, Trinity College of Arts & Sciences
Professor of Biostatistics & Bioinformatics · 2021 - Present Biostatistics & Bioinformatics, Division of Biostatistics, Biostatistics & Bioinformatics

In the News


Published September 28, 2021
Fan Li: Using Math to Help Physicians Make Better COVID Treatment Decisions

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Recent Publications


Calcitonin Gene-Related Peptide Inhibitors and Cardiovascular Events in Patients With Migraine: A Retrospective, Observational Cohort Study.

Journal Article Neurology · February 10, 2026 BACKGROUND AND OBJECTIVES: Calcitonin gene-related peptide (CGRP) inhibitors have entered widespread use in the United States for treatment of migraine, but data on their cardiovascular risk profile are lacking. The objective of this study was to determine ... Full text Link to item Cite

Association between first anticoagulant prescription and embolic and hemorrhagic events among older adults with atrial fibrillation.

Journal Article J Intern Med · January 2026 BACKGROUND: The impact of first prescription of oral anticoagulation on ischemic stroke and major bleeding events among Medicare beneficiaries with atrial fibrillation (AF) is not known. METHODS: A retrospective, observational, cohort study was performed b ... Full text Link to item Cite
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Recent Grants


Deprescribing Decision-Making using Machine Learning Individualized Treatment Rules to Improve CNS Polypharmacy

ResearchCo Investigator · Awarded by National Institutes of Health · 2024 - 2029

Research Triangle Center of Excellence in Regulatory Science and Innovation (CERSI)

ResearchPrincipal Investigator · Awarded by University of North Carolina - Chapel Hill · 2023 - 2028

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Education, Training & Certifications


Johns Hopkins University · 2006 Ph.D.
Peking University (China) · 2001 B.S.

External Links


Personal site