Yi Li
Professor
Biostatistics
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.
Projects:
Predictive Modeling of Opioid Use Among Surgical Patients
University Affiliation(s)
IHPI | KECC | MIDAS
Research Area(s)
Clinical research | Data science / Analytics / AI | Genetics / Genomics / other OMICS
Publications
- Endothelin-receptor antagonists for diabetic nephropathy: A meta-analysis
- Patient selection and volume in the era surrounding implementation of medicare conditions of participation for transplant programs
- Genetic variants in the genes encoding rho GTPases and related regulators predict cutaneous melanoma-specific survival
Grants
- 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