(734) 647-4929
Applications: Clinical Research, Electronic Medical Record Data, Epidemiology Methodologies: Bayesian Methods, Causal Inference, Longitudinal Data Analysis, Statistical Inference, Statistical Modeling, Statistics Relevant Projects:

Marginalized random effects models for Tele-Homecare Program; Coordinated School Health Evaluation Program



Xuefeng (Chris) Liu

Associate Professor, Nursing


Institute for Healthcare Policy and Innovation

Dr. Liu has a broad research interest in the development of statistical models and techniques to address critical issues in health and nursing sciences, computational processing of Big Data in clinical Informatics and Genomics, statistical modeling and assessment of risk factors (e.g. hypertension, diabetes, central obesity, smoking) for adverse cardiovascular and renal outcomes and maternal and child health. His expertise in statistics includes, but is not limited to, repeated measures models with missing data, multilevel models, latent variable models, and Bayesian and computational statistics. Dr. Liu has led and co-led several NIH-funded projects on the quality of care for hypertensive patients.