Jeffrey M. Rohay

Associate Professor
Health & Community Systems


Dr. Rohay is a statistician and information scientist, specializing in the analysis of adherence data, clinical trial data, and large, publically available public health datasets (e.g., NHIS, NHANES), as well as the management of research trial data. His dissertation focused on the analysis of data that result in J-Shaped distributions, commonly observed in studies to improve medication adherence. Using a mixed-beta model, he demonstrated that J-Shaped distributions could be simulated and that analyses using this approach performed better than standard statistical tests in detecting differences.


He currently teaches NUR 0086: Nursing Informatics, NURSP 2388: Database Management and NUR 3110: Research Instrumentation. Additionally, he has co-taught an SAS programming course in the Graduate School of Public Health.