Dr. Yu's research expertise includes the use of casual inference and generalization, comparative effectiveness, risk prediction, and pragmatic trial design and analysis to study a wide range of complex health conditions, treatments, patient centered outcomes, and health disparities. His work has explored diabetes management, hospitalization transition care programs, Alzheimer's disease, aging, and cancer using a range of healthcare data sources, including electronic health records and Medicaid claims data.
- Ph.D., Biostatistics, University of Michigan
- M.S., Applied Statistics, Bowling Green State University
- B.S., Computational Mathematics, Fudan University
Health Services Research and Policy Focus
Condition Focus
U-M Academic Affiliation(s)
Public Health
Public Health
Biostatistics
IHPI Policy Priority Areas
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U-M Primary Appointment
Professor
Public Health » Biostatistics
Contact Information
Email
[email protected]