Ming-Hui Chen

Professor, Director of Statistical Consulting Service, Department Head

Office: AUST 335
Phone: (860) 486-6984
E-Mail: ming-hui.chen@uconn.edu
Personal Website

Research Interests

Bayesian Statistical Methodology, Bayesian Computation, Categorical Data Analysis, DNA Microarray Data Analysis, Missing Data Analysis (EM, MCEM, and Bayesian), Monte Carlo Methodology, Prior Elicitation, Statistical Methodology for Prostate Cancer Data, Statistical Modeling, Survival data analysis, and Variable Selection.

Selected Publications

  • (With J. Wu, J.G. Ibrahim, E.D. Schifano, & J.D. Fisher) 2017. Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials. Statistica Sinica. In press.
  • (With W. Li, X.  Wang, & D.K. Dey) 2017. Bayesian Design of Non-Inferiority Clinical Trials via the Bayes Factor. Statistics in Biosciences. In press.
  • (With T.J. Royce, J.Wu, M. Loffredo, A.A. Renshaw, P.W. Kantoff, & A.V. D’Amico) 2017. A Comparison of Surrogate Endpoints for All Cause Mortality in Men with Localized Unfavorable Risk Prostate Cancer. JAMA Oncology, 3, 652-658.
  • (With D. Zhang, J. G.  Ibrahim, M. E., Boye & W.  Shen) 2017. Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data with Applications to Cancer Clinical Trials. Journal of Computational and Graphical Statistics, 26, 121-133.