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Fan Li

@FanLi90

Associate Professor, Department of Biostatistics @ysphbiostat @YaleSPH. Biostatistics, clinical trials, observational studies, causal inference, clustered data.
New Haven, CT lifan90.com Joined December 2017
287 Following 545 Followers 87 Posts

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Fan Li @FanLi90
At the Center for Methods in Implementation and Prevention Science (CMIPS) at the Yale School of Public Health @YaleSPH, we develop and apply rigorous biostatistical and epidemiological methods to address these gaps and accelerate real-world impact.
Yale School of Public Health @YaleSPH Apr 2, 2025
"Without any new cures for anything, we could actually prevent and mitigate 80% or more of most of the world's health problems." That's where #ImplementationScience comes in.

Learn more: ysph.yale.edu/cmips @FanLi90 @LDavisMD
youtube.com/watch?v=r0bZg7…
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Fan Li @FanLi90
Ready to transform your analytical skills in the BIG data era? Join us at @YaleSPH for the Big Data Summer Immersion program! This 6-week program introduces undergraduate students to cutting-edge challenges in Big Data, Statistics, and Human Health. Applications open on Dec 15.
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Fan Li @FanLi90
In this new paper led by @BingkaiWang, we showed that stepped wedge randomization can guard against covariate, random-effects, and error structure misspecifications, though treatment effect structure still requires careful consideration.
academic.oup.com/biometrics/art…
academic.oup.com How to achieve model-robust inference in stepped wedge trials with model-based methods? ABSTRACT. A stepped wedge design is an unidirectional crossover design where clusters are randomized to distinct treatment sequences. While model-based ana
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Fan Li @FanLi90
Excited to share our new paper in Biometrika! We make quantile causal inference accessible by introducing an inverse estimating equations approach that extends causal estimation from mean potential outcomes to their quantiles. academic.oup.com/biomet/article…
academic.oup.com Inverting estimating equations for causal inference on quantiles Summary. The causal inference literature frequently focuses on estimating the mean of the potential outcome, whereas quantiles of the potential outcome may
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Fan Li @FanLi90
Curious about extremely small stepped wedge cluster randomized trials (SW-CRTs)? Our latest paper, led by @TonyGuangyuTONG, explores the landscape of published SW-CRTs with <= 6 clusters. Take a look at what we found!
journals.sagepub.com/doi/10.1177/17…
@ColinBBegg @SteppedWedgehog
journals.sagepub.com A review of current practice in the design and analysis of extremely small stepped-wedge cluster... Background/Aims Stepped-wedge cluster randomized trials tend to require fewer clusters than standard parallel-arm designs due to the switches between control an...