Dungang Liu

Headshot of Dungang Liu, PhD

Dungang Liu, PhD

Assistant Professor, Department of Operations, Business Analytics, and Information Systems

3349 Carl H. Lindner Hall

513-556-6357

Dungang Liu is Assistant Professor of Statistics and Business Analytics at the University of Cincinnati Lindner College of Business. Prior to joining the College, Dr. Liu obtained his Ph.D. degree in statistics from Rutgers University and had two-year postdoctoral experience in biostatistics at Yale University. Dr. Liu's research interests include meta-analysis and discrete data analysis. His research outcomes have been published in leading statistical journals, such as the Journal of American Statistical Association. Driven by his strong interest in statistical applications in business and industry, Dr. Liu has been actively involved in consulting projects for healthcare, aviation, and insurance companies.

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History
Institution: University of Cincinnati Lindner College of Business
Title: Assistant Professor of Business Analytics

Institution: Yale University School of Public Health
Title: Postdoctoral Associate
End Date: 2014-08-31

Awards | Honors
Organization: University of Cincinnati Lindner College of Business
Name: Dean's List of Teaching Excellence
Year Received: 2017

Organization: Lindner College of Business, University of Cincinnati
Name: Lindner Research Excellence Emerging Scholars Award
Year Received: 2017

Organization: ICSA and co-sponsored by ASA, ISBS, and ISBA
Name: Young Researcher Travel Award
Year Received: 2016

Organization: University of Cincinnati Lindner College of Business
Name: Dean's List of Teaching Excellence
Year Received: 2015

Organization: University of Cincinnati Lindner College of Business
Name: Dean's List of Teaching Excellence
Year Received: 2014

Organization: American Statistical Association and American Society for Quality
Name: Deming Scholar
Year Received: 2011

Education
Institution: Rutgers University
Completed: 2012
Degree: Ph D

Institution: University of Science and Technology of China
Location: Hefei, China
Major: Statistics
Completed: 2006
Degree: BS

Published Contributions
Dungang Liu, Regina Liu, Minge Xie,  (2018). Exact inference methods for rare events. Wiley StatsRef:  Statistics Reference Online, doi:10.1002/9781118445112.stat08065.

Heping Zhang, Dungang Liu, Jiwei Zhao, Xuan Bi,  (2018). Modeling multivariate traits of comorbidity and genetic studies of alcoholism and nicotine dependence. Annals of Applied Statistics, 2359‑2378.

Brandon Greenwell, Andrew McCarthy, Bradley Boehmke, Dungang Liu,  (2018). Residuals and diagnostics for binary and ordinal regression models: an introduction to the sure package. The R Journal, 381-394.

Dungang Liu, Heping Zhang,  (2018). Residuals and diagnostics for ordinal regression models: a surrogate approach. Journal of American Statistical Association , 845-854.

Min-ge Xie, John Kolassa , Dungang Liu, Regina Liu, Sifan Liu,  (2018). Does an observed zero-total-event study contain information for inference of odds ratio in meta-analysis?. Statistics and Its Interface , 327–337.

Guang  Yang, Dungang Liu, Junyuan Wang, Min-ge Xie,  (2016). Meta-analysis framework for exact inferences with application to the analysis of rare events. Biometrics, 1378–1386.

Martin Kroll, Caixia Bi, Carl Garber, Harvey Kaufman, Dungang Liu, et al. ,  (2015). Temporal Relationship between Vitamin D Status and Parathyroid Hormone in the United States. PLOS ONE, 1-13.

Dungang Liu, Regina Liu, Min-ge Xie,  (2015). Multivariate meta-analysis of heterogeneous studies using only summary statistics:  efficiency and robustness. Journal of the American Statistical Association, 326-340.

Dungang Liu, Regina Liu, Min-ge Xie,  (2014). Exact meta-analysis approach for discrete data and its application to 2X2 tables with rare events. Journal of the American Statistical Association, 1450-1465.

Guang Yang, Dungang Liu, Regina Liu, Min-ge Xie, David Hoaglin,  (2014). Efficient network meta-analysis:  A confidence distribution approach. Statistical Methodology, 105-125.

Xiaobo Guo, Dungang Liu, Canhong Wen, Mingguang He, Xueqin Wang,  (2013). Incorporating heterogeneous parent–child environmental effects in biometrical genetic models. Statistics in Medicine, 3501-3508.

Accepted Contributions
Dungang Liu, (Accepted). Meta-analysis of rare events. Wiley StatsRef:  Statistics Reference Online.

Research in progress
Title: Nonparametric fusion learning:  synthesize inferences from diverse sources using confidence distribution, data depth and bootstrap
Status: Writing Results
Research Type: Scholarly

Presentations
Organization: ICSA
Location: Qingdao, China
Year: 2018

Location: Hong Kong, China
Year: 2018

Location: Dayton
Year: 2018

Organization: Georgia State University
Location: Atlanta
Year: 2017

Location: Guangzhou, China
Year: 2017

Location: Hong Kong University of Science and Technology, Hong Kong, China.
Year: 2017

Location: Hefei, China
Year: 2017

Location: Harbin, China
Year: 2017

Location: Storrs, Connecticut
Year: 2017

Location: Shanghai, China
Year: 2016

Location: Cincinnati, Ohio
Year: 2016

Location: Rockville, Maryland
Year: 2016

Location: Washington D.C.
Year: 2016

Location: Columbus, Ohio
Year: 2016

Location: Chicago, Illinois
Year: 2016

Location: Atlanta, Georgia
Year: 2016

Location: Rutgers University, New Brunswick, New Jersey
Year: 2016

Location: Whippany, New Jersey
Year: 2015

Location: Providence, Rhode Island
Year: 2015

Location: Kunming, China
Year: 2015

Location: Rio de Janeiro, Brazil
Year: 2015

Location: Shanghai, China
Year: 2015

Location: Fort Collins, Colorado
Year: 2015

Location: Cincinnati, OH
Year: 2015

Location: Greensboro, North Carolina
Year: 2014

Location: Flagstaff, Arizona
Year: 2014

Location: Riverside, California
Year: 2014

Location: Durham, North Carolina
Year: 2014

Location: Chicago, Illinois
Year: 2014

Location: Newark, Delaware
Year: 2014

Location: Cincinnati, OH
Year: 2014

Location: Columbia, Missouri
Year: 2014