Yi Guo, Ph.D.
Associate Professor
About Yi Guo
I have a multi-disciplinary background in the analysis of real-world data such as those from electronic health records (EHRs) and administrative claims, experimental and observational study design, predictive modeling (e.g., statistical and machine learning), causal modeling, and analysis of patient-reported outcomes. Together, my areas of expertise serve an overarching research theme: generating real-world evidence to support healthcare decision-making for disease prevention and control. Under this overarching theme, my research areas and expertise can be divided into three key methodologies: (1) EHR-based phenotyping and risk stratification – the identification of sub-populations with certain conditions or at higher risk for diseases, (2) Causal modeling and inference – the examination of causal relationships and pathways in clinical research, particularly treatment studies, and (3) Patient-reported outcomes (PROs) in clinical and public health applications – the development, validation, assessment, analysis, and reporting of PROs among various populations, especially vulnerable populations.
Accomplishments
Teaching Profile
Research Profile
0000-0003-0587-4105
Publications
Education
Contact Details
- Business:
- (352) 294-5969
- Business:
- yiguo@ufl.edu
- Business Mailing:
-
PO Box 100177
2004 MOWRY RD STE 2251
GAINESVILLE FL 32610