— College of Public Health — Departments — Biostatistics — Faculty & Staff — Yeongjin Gwon, PhD

Yeongjin Gwon, PhD

Associate Professor, UNMC Department of Biostatistics
Director of Biostatistics, Water, Climate and Health Program, College of Public Health
Faculty Fellow, University of Nebraska Daugherty Water for Food Global Institute

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Phone: 402-559-7114
Fax: 402-559-7259

Yeongjin Gwon, PhD, joined UNMC in 2018. He serves as an associate professor in the Department of Biostatistics in the College of Public Health and as the director of biostastistics for the college's Water, Climate and Health Program.

Dr. Gwon also is a faculty fellow of the Daugherty Water for Food Global Institute of the University of Nebraska.

He previously served as an instructor in the Department of Big Data and Applied Statistics at Dongguk University in Korea

Education

2018, Ph.D in Statistics, University of Connecticut, USA
2011, M.S in Statistics, Kyungpook National University, Korea
2008, B.S in Statistics and B.S in Mathematics, Kyungpook National University, Korea

Research Interests

Gwon’s research has focused on Bayesian modeling on heterogeneous data integration, aggregate ordinal outcomes, correlated multivariate count data, large-scale geospatial data, adaptive statistical design, and statistical application to clinical trials and public health research.

Selected Publications

Gwon Y, Yu F, Payne JB, and Mikuls TR. Bayesian Modeling on Microbiome Data Analysis: Application to Subgingival Microbiome Study. Stat Biosci, 2023; https://doi.org/10.1007/s12561-023-09397-3.
Alam M, Gwon Y, and Meza J. Bayesian Conway-Maxwell-Poisson (CMP) Regression for Longitudinal Count Data. Commun Stat Appl Methods, 2023; 30(3): 291-309.
Gwon Y, Ji Y, Bell JE, Abadi AM, Berman JD, Rau A, Leeper RD, and Rennie J. The Association between Drought Exposure and Respiratory-related Mortality in the United States from 2000 to 2018. Int J Environ Public Health, 2023; 20(12), 6076.
Gwon Y, Mo M, Chen MH, Chi Z, Li J, Xia HA, and Ibrahim JG. Network Meta-Regression for Ordinal Outcomes: Applications in Comparing Crohn’s Disease Treatments. Stat Med, 2020; 39: 1846-1870.
Ibrahim JG, Chen MH, Gwon Y, and Chen F. The Power Prior: Theory and Applications. Stat Med, 2015; 34: 3724-3749.

Professional Affiliations

American Statistical Association (ASA)
International Biometrics Society (IBS)
New England Statistical Society (NESS)
Korea-American Scientists and Engineers Association (KSEA)
International Society for Bayesian Analysis (ISBA)
American Geophysical Union (AGU)