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Michigan Public Health Master of Science Degree in Computational Epidemiology and Systems Modeling
In this program, students are trained to become highly skilled epidemiologists who can understand and analyze public health problems with mathematical and statistical models.
Epidemiological models and simulation-based analyses are increasingly used to inform public health policy and practice. Notably, throughout the COVID-19 pandemic, government agencies, policy-makers and others have used epidemiological models to help inform decision-making and slow the spread of the virus.
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CAsToR Investigator, Dr. Andrew Brouwer developed a weighted multistate transition model, which estimates underlying transition rates between tobacco use states from longitudinal data on individuals, incorporating complex survey design that requires use of sample weights. The model was further specified to estimate the effect of sociodemographic variables on the rates of these transitions. This code was designed for use with data from the Population Assessment of Tobacco and Health (PATH) Study, but can be used with other data sets. This resource includes example code and a tutorial; the example focuses on more technical details while the tutorial is a more friendly introduction to using the model.
