Yale University · Mathematics & StatisticsCluster Randomization and Health Outcomes Lab
Fan Li · New Haven, Connecticut
Research Focus
Dr. Fan Li's lab at Yale University focuses on improving statistical methods for cluster-randomized trials, which are vital for evaluating healthcare interventions. The lab's research specifically aims to enhance how we quantify treatment effects on multiple health outcomes, especially in complex scenarios like heart failure. This work involves developing new statistical techniques, creating software tools, and sharing knowledge through tutorials and case studies.
cluster-randomized trialswin statisticstreatment effectshealth outcomesstatistical methods
Research Aims
4AIM 01Develop robust and efficient covariate-adjusted win estimators for multiple outcomes in cluster-randomized trials.
AIM 02Expand win estimators to handle censored time-to-event data.
AIM 03Create regression methods to study covariate effects on win parameters in cluster-correlated data.
AIM 04Disseminate new methods through open-source software and educational resources.
Skills the Lab Values
statistical modelingdata analysisregression analysissoftware developmentclinical trial design
Output against the department
Publications496top 15% of dept.19th of 131
this lab
most publishedleast published
Citations8.5ktop 47% of dept.62nd of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.