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.),
Statistical methods for observational studies in population health, health outcome research and social sciences,
Behavioral Medicine and Psychology,
Breast Cancer Prevention
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).