Ming-Hui Chen, Ph.D.

Professor and Head of Statistics
Address:

Department of Statistics
University of Connecticut
215 Glenbrook Road, U-4120
Storrs, CT 06269-4120, U.S.A.
E-mail: ming-hui.chen at uconn.edu
Phone: (860) 486-6984
Fax: (860) 486-4113
Office: 335 CLAS Building

Education

Ph.D., 1993, Purdue University, Thesis Advisors: James O. Berger and Bruce W. Schmeiser.
M.S., 1991, Department of Statistics, Purdue University, West Lafayette, IN 47907, USA
M.S., 1985, Department of Applied Mathematics, Shanghai Jiao Tong University, Shanghai, China
B.S., 1983, Department of Mathematics, Hangzhou University, Hangzhou, China

Honors and Awards

College of Science Distinguished Science Alumni Award, Purdue University, April 2023.
ISBA Certificate of Appreciation, 2021.
Board of Trustees Distinguished Professor, University of Connecticut, April 2021.
ICSA Distinguished Achievement Award, 2020.
Fellow of International Society for Bayesian Analysis (ISBA), 2016.
UCONN Alumni Association's University Award for Faculty Excellence in Research and Creativity (Sciences), University of Connecticut, 2014.
AAUP Research Excellence Award, American Association of the University Professors, University of Connecticut, 2013.
The College of Liberal Arts and Sciences (CLAS) Excellence in Research Award in the Physical Sciences Division, University of Connecticut, 2013.
ICSA Outstanding Service Award, 2011.
Fellow of the Institute of Mathematical Statistics , 2007.
Fellow of the American Statistical Association , 2005.
Elected as an ordinary member of the International Statistical Institute (ISI), 1999.
Received the Harold J. Gay Professorship in Mathematical Sciences from WPI, 1998-2000.
Received the I.W. Burr Award in Statistics from Purdue University, 1993.

Professional Activities

JSM 2022 Program Chair, American Statistical Association, 2021-2022.
Co-Chair of the ISBA 2021 Virtual Conference (VC) committee, 2021 ISBA World Meeting, 2021.
Representative from Districts 1-3, ASA Caucus of Academic Representatives, 2018-2021.
Co-Chair of the Organizing Committee, 2020 ISBA World Meeting, 2018-2020.
Chair of the 2018 Mitchell Prize Committee, and Member of the 2017 Mitchell Prize Committee, International Society for Bayesian Analysis.
The International Advisory Committee for the discipline of statistics of Yunnan University, December 2017 -- present.
President, New England Statistical Society, June 1, 2018 - May 31, 2020.
Chair Past, Eastern Asia Chapter of International Society for Bayesian Analysis, January 1 - December 31, 2019.
Chair, Eastern Asia Chapter of International Society for Bayesian Analysis, January 1 - December 31, 2018.
Chair Elect, Eastern Asia Chapter of International Society for Bayesian Analysis, January 1 - December 31, 2017.
Co-Chair, the Local Organizing Committee, the LIDA Conference on Data Science, Precision Medicine and Risk Analysis with Lifetime Data, University of Connecticut, Storrs, CT, May 24-27, 2017.
President Elect Appointee, Committee on Nominations, American Statistical Association (ASA), 2016-2017.
President (2013), International Chinese Statistical Association, Elected in 2011.
Co Editor-in-Chief, New England Journal of Statistics in Data Science, 2021---present.
Co Editor-in-Chief, Statistics and Its Interface, 2019---present.
Associate Editor, Journal of the American Statistical Association, 2011---Present.
Associate Editor, Lifetime Data Analysis, 2001---present.
Editor, Statistics and Its Interface, 2014---2018.
Editor, Bayesian Analysis, 2010---2018.
Associate Editor, Journal of Computational and Graphical Statistics, 2005---present.
Associate Editor, Statistics and Its Interface, 2007---2014.
Co-Editor, Sankhya, 2004---2011.
Associate Editor, Bayesian Analysis, 2004---2010.
Co-Chair of the Scientific Program Committee for the 10th ICSA International Conference, Shanghai Jiao Tong University, Shanghai, China, December 19-22, 2016.
Board of Directors, Zhejiang University Alumni Association, Elected in 2011.
Board of Directors, International Society for Bayesian Analysis (ISBA), Elected in 2010, Serving for 2011-2013.
Chair of the Publication Committee, International Chinese Statistical Association, 2011.
The SBSS Nominations Committee, Section On Bayesian Statistical Sciences (SBSS), American Statistical Association, 2009-2013.
Executive Director, International Chinese Statistical Association, 2007-2010.
Publications Officer, Section On Bayesian Statistical Sciences (SBSS), American Statistical Association, Elected in 2007, Serving for 2008-2009.
Board of Directors, International Chinese Statistical Association, 2004-2006.
Program Chair, Section On Bayesian Statistical Sciences (SBSS), American Statistical Association, Elected in 2003, Serving for 2005.
Institute of Mathematical Statistics Committee for New Researchers, 1997-1999.

Professional Society Memberships

Member of Institute of Mathematical Statistics; American Statistical Association; ENAR, The International Biometric Society; Section on Bayesian Statistics; International Chinese Statisticians Association; The International Statistical Institute; Korean International Statistical Society; The International Society of Biopharmaceutical Statistics; and New England Statistical Society.

Areas of Research Interest:

Bayesian Statistical Methodology, Bayesian Computation, Big Data, Categorical Data Analysis, Design of Bayesian Clinical Trials, 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.

Books

Bayesian Phylogenetics: Methods, Algorithms, and Applications (2014). Chen, M.-H., Kuo, L., and Lewis, P.O. (Eds.), Chapman & Hall/CRC Mathematical and Computational Biology, ISBN: 978-1466500792.
Frontiers of Statistical Decision Making and Bayesian Analysis --- In Honor of James O. Berger (2010), Chen, M.-H., Dey, D.K., Müller, P., Sun, D., Ye, K. (Eds.), Springer, ISBN 978-1-4419-6943-9 -- Or Click on Springer Website Here
Bayesian Survival Analysis (2001), Ibrahim, J.G., Chen, M.-H., and Sinha, D., Springer, ISBN 0-387-95277-2. -- Or Click on Springer Website Here
Monte Carlo Methods in Bayesian Computation (2000), Chen, M.-H., Shao, Q.-M., and Ibrahim, J.G., Springer, ISBN 0-387-98935-8 -- Or Click on Springer Website Here
Applied Statistics for Engineers and Scientists (1999) , Petruccelli, J.D., Nandram, B., and Chen, M.-H., Prentice-Hall, INC., ISBN 0-13-565953-1.

Recent Publications

(See a complete list of selected publications, please click here)

Menger, A., Sheikh, Md. T, and Chen, M.-H. (2023). Bayesian Modeling of Survival Data in the Presence of Competing Risks with Cure Fractions and Masked Causes. Sankhya A. To appear.
Huang, C., Chu, C., Lu, Y., Yi, B., and Chen, M.-H. (2023). Bayesian Interim Analysis in Basket Trials. The New England Journal of Statistics in Data Science. To appear. https://doi.org/10.51387/23-NEJSDS48
Sheikh, Md. T, Chen, M.-H., Gelfond, J.A., Sun, W., and Ibrahim, J.G. (2023). New Bayesian C-indices for Assessing Importance of Longitudinal Biomarkers in Fitting Competing Risks Survival Data in the Presence of Partially Masked Causes. Statistics in Medicine, 42, 1308-1322. https://doi.org/10.1002/sim.9671.
Chen, M.-H., Lim, D., Ravishanker, N., Linder, M.H., Bolduc, M., McKeon, B., and Nolan, S. (2022). Collaborative analysis for energy usage monitoring and management on a large university campus. Stat, 11, e513. https://doi.org/10.1002/sta4.513.
Liu, F., Wang, X., Hancock, R., and Chen, M.-H. (2022). Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data With Application To Computerized Testing. Psychometrika, 87, 1290-1317. https://doi.org/10.1007/s11336-022-09845-x.
Wei, S., Chen, M.-H., Kuo, L., and Lewis, P.O. (2022). Bayesian Concentration Ratio and Dissonance. Bayesian Analysis, 17(3), 817-847.
Shi, D., Chen, M.-H., Kuo, L., and Lewis, P.O. (2021). New partition based measures for data compatibility and information gain. Statistics in Medicine, 40, 3560-3581.
Sheikh, Md. T., Ibrahim, J.G., Gelfond, J.A., Sun, W., and Chen, M.-H. (2021). Joint Modelling of Longitudinal and Survival Data in the Presence of Competing Risks with Applications to Prostate Cancer Data. Statistical Modelling, 21(1-2), 72-94.
Zhang, F., Chen, M.-H., Cong, X., and Chen, Q. (2021). Assessing Importance of Biomarkers: a Bayesian Joint Modeling Approach of Longitudinal and Survival Data with Semicompeting Risks. Statistical Modelling, 21(1-2), 30-55.
de Castro, M., Chen, M.-H., Zhang, Y., and D'Amico, A.V. (2020). A Bayesian Multi-Risks Survival (MRS) Model in the Presence of Double Censorings. Biometrics, 76, 1297--1309.
Liu, Y., Hu, G., Cao, L., Wang, X., and Chen, M.-H. (2019). A Comparison of Monte Carlo Methods for Computing Marginal Likelihoods of Item Response Theory Models (with Discussion). Journal of the Korean Statistical Society, 48, 503-512 (https://doi.org/10.1016/j.jkss.2019.04.001) for the main paper and 522-523 (https://doi.org/10.1016/j.jkss.2019.07.001) for the rejoinder.
Liu, Y., Ma, X., Zhang, D., Geng, L., Wang, X., Zheng, W., and Chen, M.-H. (2019). Look Before You Leap: Systematic Evaluation of Tree-based Statistical Methods in Subgroup Identification. Journal of Biopharmaceutical Statistics, 29(6), 1082-1102.
Wang, Y.-B., Chen, M.-H., Kuo, L., and Lewis, P.O. (2019). Adaptive Partition Weighted Approach for Estimating Marginal Posterior Density with Applications. Journal of Computational and Graphical Statistics, 28(2), 334-349.
Tilki, D., Chen, M.-H., Wu, J., Huland, H., Graefen, M., Braccioforte, M., Moran, B., and D'Amico, A.V. (2019). Surgery versus Radiation in the Management of Gleason Score 9,10 Prostate Cancer and the Risk of Death. JAMA Oncology, 5(2). 213-220. doi: 10.1001/jamaoncol.2018.4836.
Li, H., Chen, M.-H., Ibrahim, J.G., Kim, S., Shah, A.K., Lin, J., and Tershakovec, A.M. (2019). Bayesian inference for network meta-regression using multivariate random effects with applications to cholesterol lowering drugs. Biostatistics, 20(3), 499-516. doi:10.1093/biostatistics/kxy014.
Li, W., Chen, M.-H., Wang, X., and Dey, D.K. (2018). Bayesian Design of Non-Inferiority Clinical Trials via the Bayes Factor. Statistics in Biosciences, 10, 439-459. DOI: 10.1007/s12561-017-9200-5.
Wu, J., Ibrahim, J.G., Chen, M.-H., Schifano, E.D., and Fisher, J.D. (2018). Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials. Statistica Sinica, 28, 1929-1963. doi:10.5705/ss.202016.0319.
Wang, Y.-B., Chen, M.-H., Kuo, L., and Lewis, P.O. (2018). A New Monte Carlo Method for Estimating Marginal Likelihoods. Bayesian Analysis, 13(2), 311-333.
Zhang, D., Chen, M.-H., Ibrahim, J. G., Boye, M. E., and Shen, W. (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(1), 121-133.
Joeng, H.-K., Chen, M.-H., and Kang, S. (2016). Proportional Exponentiated Link Transformed Hazards (ELTH) Models for Discrete Time Survival Data with Application. Lifetime Data Analysis, 22, 38-62. DOI: 10.1007/s10985-015-9326-z.
Ibrahim, J.G., Chen, M.-H., Gwon, Y., and Chen, F. (2015). The Power Prior: Theory and Applications. Statistics in Medicine, 34, 3724-3749.
Yu, F., Chen, M.-H., Kuo, L., Talbott, H., and Davis, J.S. (2015). Confident Difference Criterion: A New Bayesian Differentially Expressed Gene Selection Algorithm with Applications. BMC Bioinformatics, 16, 245. DOI 10.1186/s12859-015-0664-3.
de Castro, M., Chen, M.-H., and Zhang, Y. (2015). Bayesian Path Specific Frailty Models for Multi-state Survival Data with Applications. Biometrics, 71, 760-771.
Yao, H., Kim, S., Chen, M.-H., Ibrahim, J.G., Shah, A.K., and Lin, J. (2015). Bayesian Inference for Multivariate Meta-regression with Partially Observed Within-Study Sample Covariance Matrix. Journal of the American Statistical Association, 110(510), 528-544.
Sinha, A., Chi, Z., and Chen, M.-H. (2015). Bayesian Inference of Hidden Gamma Wear Process Model for Survival Data with Ties. Statistica Sinica, 25, 1613-1635.
Zhang, D., Chen, M.-H., Ibrahim, J. G., Boye, M. E., Wang, P., and Shen, W. (2014). Assessing Model Fit in Joint Models of Longitudinal and Survival Data with Applications to Cancer Clinical Trials. Statistics in Medicine, 33(27), 4715-4733.
Chen, M.-H., Ibrahim, J.G., Zeng, D., Hu, K., and Jia, C. (2014). Bayesian Design of Superiority Clinical Trials for Recurrent Events Data with Applications to Bleeding and Transfusion Events in Myelodyplastic Syndrome. Biometrics, 70, 1003-1013.
Chen, M.-H., Ibrahim, J. G., Xia, H. A., Liu, T., and Hennessey, V. (2014). Bayesian Sequential Meta-analysis Design in Evaluating Cardiovascular Risk in a New Antidiabetic Drug Development Program. Statistics in Medicine, 33, 1600-1618.