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Hegang Chen, PhD

Academic Title:


Primary Appointment:

Epidemiology & Public Health


HH 113

Phone (Primary):

(410) 706-4067


(410) 706-3808

Education and Training

Ph.D. in Statistics, University of Illinois.

M.S. in Mathematics, University of Mississippi.


Before he joined University of Maryland in 2002, Dr. Chen had been a faculty member at Case Western Reserve University, Virginia Tech and University of Minnesota. Since its inception, Dr. Chen has worked as one of lead statisticians for the General Clinical Research Center (GCRC) at University of Maryland. He has extensive collaborative research experience in the design, conduct and analysis of clinical trials, laboratory investigations and epidemiological research. In addition to biomedical collaborations, Dr. Chen has been developing statistical methodologies relating to the optimal design and analysis of experiments, generalized mixed linear models, and application of statistical methods and machine learning techniques in molecular biology and clinical decision-support for real-time patient care such as predicting blood product needs. Dr. Chen is a member of the Hormone Responsive Cancers Program within the University of Maryland Marlene and Stewart Greenebaum Cancer Center Program in Oncology.

Highlighted Publications

Pinaki Panigrahi, Sailajanandan Parida, Nimai C Nanda, RadhanathSatpathy, Lingaraj Pradhan, Dinesh S Chandel, Lorena Baccaglini, Arjit Mohapatra,  Subhranshu S Mohapatra, Pravas R Misra, Rama Chaudhry, Hegang H Chen, Judith A Johnson, John Glenn Morris Jr., Nigel Paneth, Ira H Gewolb (2017) A randomized synbiotic trial to prevent sepsis among infants in rural India. Nature, 548(7668):407-412.

Colin F Mackenzie, Evan Garofalo, Adam Puche, Hegang Chen, Kristy Pugh, Stacy Shackelford, Samuel Tisherman, Sharon Henry, Mark W Bowyer (2017) Performance of vascular exposure and fasciotomy among surgical residents after training and up to 18 months later compared to experts. JAMA, Surgery, 52(6):1-8.

Mackenzie, C.F., Wang, Y., Hu, P.,  Chen, S-Y., Chen, H.H., Hagegeorge, G., Stansbury, L.G., Shackelford, S. and the ONPOINT Study Group (2014) Automated Prediction of Early Blood Transfusion and Mortality in Trauma Patients, The Journal of Trauma and Acute Care Surgery, 76(6):1379-85.

Stone, M., Woo, J., Zhu, J., Chen, H. and Price, J. (2014)  Patterns of Variance in /s/ During Normal and Glossectomy Speech, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2(4):197-207.

Chen, H. and Cheng, C-S. (2012) Chapter 9: Minimum Aberration and Related Criteria for Fractional Factorial Designs In: Design and Analysis of Experiments, Vol. 3: Special Designs and Applications, Klaus Hinkelmann, Editor. Wiley, New York, 299-329.

Xu, K., Shimelis, H., Linn, D.E., Jiang, R., Yang, X., Sun, F., Guo, Z., Chen, H., Li, W.,  Chen, H., Kong, X., Melamed, J., Fang, S., Xiao, Z., Veenstra, T.D. and Qiu, Y. (2009) Regulation of Androgen Receptor Transcriptional Activity and Specificity by RNF6. Cancer Cell, Vol. 15, 270-282.

Chen, H. and Cheng, C-S. (2009) Some Results on 2n-m Designs of Resolution IV with (Weak) Minimum Aberration. Annals of Statistics, Vol. 37, 3600-3615.

Huang, C., Chen, H., Cassidy, W. and Howell, C. (2008) Peripheral Blood Gene Expression Profile Associated With Sustained Virologic Response After Peginterferon Plus Ribavirin Therapy for Chronic Hepatitis C Genotype 1. Journal of the National Medical Association, Vol. 100(12):1425-33.

Chen, H. and Cheng, C-S. (2006) Doubling and Projection: A Method of Constructing Two-Level Designs of Resolution IV. Annals of Statistics, Vol. 34, 546-558.

Chen, H. and Cheng, C-S. (2004) Aberration, Estimation Capacity and Estimation Index. Statistica  Sinica, Vol. 14, 203-215.

Hudson, M., Mertens, A., Yasui, Y., Hobbie, W., Chen, H, Gurney, J., Yeazel, M., Recklitis, C.J., Marina, N., Robison, L. and Oeffinger, K. (2003) Health Status of Adult Long-term Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study. Journal of the American Medical Association, Vol. 290, No. 12 1583-1592.

Wagenaar, A. C., Denk, C. E., Hannan, P., Chen, H. and Harwood, E. M. (2001) Legal Liability of Commercial and Social Hosts for Alcohol-Related Injuries: A National Survey of Accountability Norms and Judgments. Public Opinion Quarterly, Vol. 65, 3, 344-368.

Jiang, J., Jia, H. and Chen, H. (2001) Maximum Posterior Estimation of Random Effects in Generalized Linear Mixed Models, Statistica  Sinica, Vol. 11, 97-120.

Chen, R., Xiong, X., Guan, J-L., Kung, H-J., Chen, H. and Qiu, Y. (2001) Regulation of a PH-domain-containing Tyrosine Kinase Etk by Focal Adhesion Kinase Through the FERM Domain, Nature Cell Biology, Vol. 3, 439-444.

Chen, H. and Cheng, C-S. (2000) Uniqueness of Some Resolution IV Two-Level Regular Fractional Factorial Designs, SIAM Journal on Discrete Mathematics, Vol. 13, 571-575.

Chen, H. (2000) The Maximum Number of Lines Contained in Subsets of PG(k; 2), Ars Combinatoria, Vol. 57, 103-110.

Chen, H. and Cheng, C-S. (1999) Theory of Optimal Blocking of 2n-m Designs, Annals of Statistics, Vol. 27, 1948-1973.

Chen, H. and Hedayat, A.S. (1998) 2n-m with Resolution III or IV Containing Clear Two-Factor Interactions, Journal of Statistical Planning and Inference, 75,147-158.

Suen*, C-Y., Chen*, H. and Wu, C. F. J. (1997) Some Identities on qn-m Designs with Application to Minimum Aberration Designs, Annals of Statistics, Vol. 25, 1176-1188. (*These two authors contributed equally).  

Chen, H. and Hedayat, A.S. (1996) 2n-l Designs with Weak Minimum Aberration, Annals of Statistics, Vol. 24, 2536-2548.

Chen, H. and Hedayat, A.S. (1994) Optimum Experimental Design for Comparative Bioavailability Study, Journal of Statistical Planning and Inference, Vol. 42, 271-289.

Research Interests

Dr. Chen's research interests are focused on (i) statistical methodology development and (ii) biomedical collaborative research. He has developed statistical methodologies relating to optimal design and analysis of experiments, generalized mixed linear models, and application of statistical methods and mechine learning techniques in molecular biology and decision-support for real-time patient care such as predicting blood product needs. His methodology work has been published in the most prestigious statistics and applied mathematics journals, such as Annals of Statistics, and SIAM Journal.  The scope of Dr. Chen's collaborative research ranges from cancer, infection disease, heart disease, global public health, pharmacogenomics of diabetes treatment, women’s health, trauma, patient care, alcohol-related injuries to cell and molecular biology. Many of these publications have appeared in the leading biomedical research journals, including Journal of the American Medical Association, Nature, Cancer Cell and Nature Cell Biology