People of the Injury Prevention Center
Jason Goldstick, PhD
Research Associate Professor, Emergency Medicine, U-M Medical School
Director, Statistics and Methods Section, Research Core, University of Michigan Injury Prevention Center
Dr. Goldstick is the Director of Statistics and Methods in the CDC-funded University of Michigan Injury Prevention Center (UMIPC) and a Research Associate Professor of Emergency Medicine and Health Behavior and Health Education at the University of Michigan. Jason is a statistician by training and his past research spans several areas of social epidemiology including infectious disease, childhood problem behaviors, substance use, and violence. He has extensive expertise in statistical analyses, including predictive modeling and the analysis of longitudinal and spatially dependent data, especially as it applies to substance use, injury/violence data, and public health research. He has been the PI of a NIDA grant to study age-dependence in the predictors of substance use and its comorbidities, an NIAAA grant-funded to study predictors of alcohol use transitions and how those transitions coalesce with transitions in other health behaviors, and has received CDC contracts to use administrative claims data to study changes in opioid prescribing and related outcomes following the release of the CDC Guideline for Prescribing Opioids for Chronic Pain. His current and ongoing work focuses on violence and substance use epidemiology, overdose surveillance, and estimating behavioral intervention treatment effects. Specifically, Jason is currently PI of an R01 funded to use machine learning methods to optimally predict future violence involvement, and directs a statewide near real-time surveillance system for opioid overdoses in Michigan called the System for Opioid Overdose Surveillance, and is the lead statistician on over a half dozen current federally funded studies.
Dr. Goldstick specializes in spatial and longitudinal data analysis and predictive analytics. His primary substantive interests are public health applications involving substance use and violence, and clinical risk prediction for outcomes like violent injury, stroke, and drug overdose.
Recent projects Dr. Goldstick has led include:
• NIDA R03 funded to develop methods to determine age-dependence in the predictors of violence, substance use and its comorbidities
• IPC Core Project on spatial variation in the effectiveness of Michigan’s graduated driver licensing law
• NIAAA R03 funded to study predictors of alcohol use transitions, and how those transitions coalesce with transitions in other health behaviors, including prescription drug overdose risk