Edward J. Bedrick, PhD, is a professor in the Department of Epidemiology and Biostatistics at the Mel and Enid Zuckerman College of Public Health. His research interests include Bayesian methods, linear models and multivariate methods.  Dr. Bedrick has collaborated in a variety of fields including anthropology, ecology, nursing, nephrology, ob/gyn, pediatrics, psychiatry, and veterinary epidemiology. Dr. Bedrick received his PhD in statistics from the University of Minnesota. He is a Fellow of the American Statistical Association. 

Selected Publications

• Bedrick, E.J. (2020). Data reduction prior to inference: Are there consequences of comparing groups using a t-test based on principal component scores? Biometrics, Jun;76 (2):508-517.
• Gunn-Sandell LB, Bedrick EJ, Hutchins JL, Berg AA, Kaizer AM, Carlson NE (2023). A practical guide to adopting Bayesian analyses in clinical research. J Clin Transl Sci. Dec 7;8(1):e3.
• Glisovic-Bensa, M, Piegorsch WW, Bedrick EJ. (2024) Bayesian benchmark dose risk assessment with mixed-factor quantal data. Environmetrics, Vol. 35. https://onlinelibrary.wiley.com/doi/10.1002/env.2854
• Furlong MA, Paul KC, Parra KL, Fournier AJ, Ellsworth PC, Cockburn MG, Arellano AF, Bedrick EJ, Beamer PI, Ritz B. (2025). Pre-conception and first trimester exposure to pesticides and associations with stillbirth. Am J Epidemiol. Jan 8; 194(1); 44-55.

List of Published Work in NIH Bibliography

http://1.usa.gov/1PNxKL3