(734) 615-8981

Behavioral Science, Environmental Sciences, Epidemiology, Psychology, Public Health, Social Sciences
Geographic Information Systems, Longitudinal Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis
Relevant Projects:

System for Opioid Overdose Surveillance

Jason Goldstick

Research Associate Professor

Injury Prevention Center
Emergency Medicine

I am a statistician and my research focuses on applied public health work in a variety of fields specific to injury prevention, including substance use, violence, motor vehicle crash, and traumatic brain injury. Within those applications, I apply analytic methods for longitudinal data analysis, spatial and spatio-temporal data analysis, and predictive modeling (e.g., for clinical prediction of future injury risk applied to injuries like stroke, Benzodiazepine overdose, and firearm injury). I am also MPI of the System for Opioid Overdose Surveillance–a near-real-time system for monitoring fatal and nonfatal overdoses in Michigan; the system generates automated spatial and temporal summaries of recent overdose trends.