Steve E. Rigdon, Ph.D.
Professor; Epidemiology and Biostatistics
College for Public Health and Social Justice
"Statistics is the science of making inference in the presence of uncertainty."
- Steve E. Rigdon, Ph.D.
Courses Taught
Bayesian Statistics; Capstone in Biostatistics
Education
- Ph.D., Statistics, University of Missouri-Columbia
- M.A., University of Missouri-St. Louis
- B.A., University of Missouri-St. Louis
Research Interests
Biosurveillance; models for election prediction; quality; survival analysis.
Publications and Media Placements
Rigdon has published in Technometrics, Journal of Quality Technology and Quality Engineering. His work in models for election prediction was profiled in a 2008 Wall Street Journal article and interviews with local TV stations, KMOV and Fox 2.
He is also the author of Calculus, 8th and 9th ed., published by Pearson, and Statistical Methods for the Reliability of Repairable Systems, published by Wiley.
His research on optical experimental design is funded by the National Science Foundation
in a collaboration grant with researchers at Arizona State University.