Jason Goldstick, PhD

Jason is the Director of Statistics and Methods in the CDC-funded University of Michigan Injury Prevention Center and a Research Associate Professor of Emergency Medicine and Health Behavior and Health Equity at the University of Michigan. As a PhD-trained statistician and injury prevention researcher, Jason has extensive and varied applied expertise with analytically complex injury prevention research projects. He has been PI of several NIAAA, NIDA, and CDC grants all related to novel analytic approaches applied to injury and violence research and have been lead statistician on over a dozen federally-funded studies, including RCTs, observational studies, and projects involving the complex spatial and longitudinal analyses. Jason's largest ongoing projects he directs as PI are an opioid overdose surveillance system for the state of Michigan (https://systemforoverdosesurveillance.com/), and a prospective longitudinal study (R01CE003294) focused on applying machine learning methods to develop an optimal brief screen for future firearm violence.