James Odei, PhD

Assistant Professor - Clinical
Biostatistics

Phone: 

614-247-8048

Email: 

odei.3@osu.edu
1841 Neil Ave.
248 Cunz Hall
Columbus, OH 43210

Background: 

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.

Research Interests: 

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

Education: 

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

Courses: 

Introduction to Biostatistics (PUBHBIO 2210)
Introduction to SAS for Public Health Students (PUBHBIO 6270)

Awards/Honors: 

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


Selected Publications: 

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). 

If this is your profile page, click here and login with your Ohio State Username (name.#) to edit.