The Department of Mathematical Sciences currently has one statistician. His interests include probability theory, spatial statistics, logistic regression and applications, and applications of statistics in public health, ecology, and forestry. More recently, he has served as the Director of the Data and Modeling (DM) Core within the Center for Population Health Research at UM, a group of about 12 statisticians, epidemiologists, modelers, and computing specialists who work to assist public health researchers with applied research questions. The DM Core provides limited opportunities for students to engage in research. In terms of coursework, the department offers courses on introductory statistics, probability and simulation, probability theory, mathematical statistics, and applied statistical methods, and a variety of graduate-level statistics topics such as spatial statistics when possible. Use of the R statistical software package is an integral component in nearly all statistics courses.

Faculty

Jonathan Graham

Ph.D., North Carolina State University, 1995

Selected recent publications:

• R. Newcomer, J. Graham, K. Irish, R.E. Freeman, C.S. Leary, B.K. Wehner, M.F. Daley. Identification of spatial clusters of undervaccination patterns among children aged <24 months using immunization information system data, Montana, 2015-2019. Public Health Reports (2023).
• Rice, W.L., S.Y. Michels, M. Foster, Graham, P. Whitney, J.M. Thomsen. Exploring the impacts of protected areas’ attributes on pediatric health: the case for additional research beyond greenspace. Land, 12, 1613 (2023).
• Kalachev L, Landguth EL, Graham J. Revisiting classical SIR modelling in light of the COVID-19 pandemic. Infectious Disease Modeling 8(1): 72-83 (2023).