I am an Assistant Professor in the Department of Biostatistics at the Yale School of Public Health. I am also a faculty member in the Center for Methods in Implementation and Prevention Science (CMIPS) and the Yale Center for Analytical Sciences (YCAS). I received my Ph.D. in Biostatistics from Duke University in May, 2019.

My research focuses on statistical methodology to evaluate comparative effectiveness with real-world data arising from pragmatic clinical trials, observational studies or a combination of both. I am an expert in the design, monitoring, analysis and interpretation of parallel-arm, crossover and stepped-wedge cluster randomized studies, which are increasingly seen in pragmatic trials embedded in the health care delivery systems. I have also been developing new propensity score methods to enable causal inference with real-world observational data, with a focus on improving overlap and internal validity. My recent interests also include developing robust causal inference methods to integrate randomized trials and observational studies to achieve improved generalizability and external validity. My research has been funded by the Patient-Centered Outcome Research Institute (PCORI). ‚Äč




Address: Room 229, 135 College Street, New Haven, CT 06510

Tel: (203) 764-9835

Email: fan.f.li [@] yale [DOT] edu | frank.li [@] yale [DOT] edu


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Yale Department of Biostatistics

Biostatistics and Study Design Core at NIH Collaboratory

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