James Odei, PhD

Assistant Professor - Clinical

James Odei, PhD


1841 Neil Ave.
248 Cunz Hall
Columbus, OH 43210


odei [dot] 3atosu [dot] edu



Dr. Odei comes to the college with a Ph.D. in Statistics. Prior to joining the OSU College of Public Health in the Division of Biostatistics, he served as a visiting assistant professor at OSU’s College of Arts and Sciences in the Department of Statistics, where he taught both undergraduate and graduate courses.

His research interests include spatial, temporal, spatio-temporal modeling using Bayesian methods and hierarchical modeling and applications to ecology and health. He believes that interdisciplinary collaboration is key to making scientific progress.

Spatial, Temporal, and Spatio-Temporal Statistics, Environmental and Ecological Statistics, Bayesian Hierarchical Modeling, Statistical Data Visualization, Infectious Diseases (HIV/AIDS, TB, etc.), Environmental Epidemiology, Statistical methods for observational studies in population health, health outcome research and social sciences, Behavioral Medicine and Psychology, Breast Cancer Prevention

Ph.D., Statistics, Utah State University (USU), Logan-Utah, 2014
M.S., Statistics, University of Nevada, Las Vegas (UNLV), 2007
BSc., Mathematics, Kwame Nkrumah University of Science and Tech., Kumasi-Ghana, 2001

  • USU Robins Award for Graduate Teaching Assistant of the Year, 2014
  • USU College of Science Graduate Student Teacher of the Year Award, 2014
  • USU Dept. of Mathematics & Statistics Graduate Student Teacher of the Year Award, 2014
  • Utah State Legislature Official Citation of Honor, 2012
  • American Red Cross (Northern Utah Chapter) Community Good Samaritan Award, 2012
  • People Magazine (November 7, 2011 Edition) Hero of the Year Award, 2012
  • UNLV Best Graduate Teaching Assistant Award, 2006

Odei, J.B., J. Symanzik, and M.B. Hooten (2014). "A Bayesian hierarchical model for forecasting of intermountain snowpack dynamics," Environmetrics, 25 (5), 324–340. DOI: 10.1002/ENV.2275.

Wilson, T.L., J.B. Odei, M.B. Hooten, and T.C. Edwards (2010). "Hierarchical spatial models for predicting pygmy rabbit distribution and relative abundance," Journal of Applied Ecology. 47, 401– 409. DOI: 10.1111/j.1365-2664.2009.01766.x (BBC News Feature).