Member Database

Yi Li

Public Health

MS and PhD, University of Michigan

Yi Li is a Professor of Biostatistics and Director of the Kidney Epidemiology and Cost Center. His current research interests are survival analysis, longitudinal and correlated data analysis, measurement error problems, spatial models and clinical trial designs. His group is developing methodologies for analyzing large-scale and high-dimensional datasets, with direct applications in observational studies as well in genetics/genomics. His methodologic research is funded by various NIH statistical grants starting from 2003. Yi Li is actively involved in collaborative research in clinical trials and observational studies with researchers from the University of Michigan and Harvard University. The applications have included chronic kidney disease surveillance, organ transplantation, cancer preventive studies and cancer genomics.


Predictive Modeling of Opioid Use Among Surgical Patients

University Affiliation(s)


Research Area(s)

Clinical research | Data science / Analytics / AI | Genetics / Genomics / other OMICS


  • Principal investigator of: New machine learning methods for modeling opioid use among surgical patients
  • Principal investigator of: AI Institute: Planning: Transparent machine learning for survival data by removing estimation biases and evaluating uncertainties
  • Co-investigator of: New statistical methods for modeling opioid use among surgical patients
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