Ming-Hui Chen

Ming-Hui Chen is a Board of Trustees Distinguished Professor in the Department of Statistics at the University of Connecticut. His research focuses on Bayesian statistical methodology, biostatistics, categorical data analysis, and applications in medical research. He has contributed to advancements in methods for handling missing data, Monte Carlo techniques, and statistical modeling for prostate cancer outcomes. His work frequently addresses challenges in clinical trials, biomarker analysis, and survival data interpretation.

Key areas of expertise include Bayesian network meta-regression, prior elicitation, and computational methods for high-dimensional data. He has published extensively on prostate cancer prognosis, biochemical response modeling, and integrative multi-omics analysis. His research bridges statistical theory and practical applications in oncology, cardiology, and public health.

Dr. Chen’s recent studies explore topics such as the impact of exercise on cardiovascular health among firefighters, mitochondrial dysfunction in preterm infants, and the use of historical data to enhance clinical trial design. He serves on editorial boards, including the Journal of the American Statistical Association, and collaborates with researchers globally on interdisciplinary projects.