Scott F Grey


Department of Primary Appointment:
School of Medicine
Associate Director of Biostatistics, Surgical Critical Care Initiative (SC2i)
Location: Uniformed Services University of the Health Sciences, Bethesda, MD
Research Interests:
The development of computerized decision support tools to improve clinical decision-making, and statistical methods for causal inference.
Office Phone


MS and PhD, Epidemiology and Biostatistics, Case Western Reserve University
BS, Physical Education, Kent State University


Dr. Grey obtained his BS in physical education from Kent State University and his MS and PhD in epidemiology and biostatistics from Case Western Reserve University. His doctoral dissertation considered how different definitions of compliance impacted estimates of treatment efficacy in complier average causal effects (CACE) analysis. Dr. Grey served as statistician on a large cluster randomized trial of a school-based substance abuse prevention program at University of Akron and the smaller cluster randomized trial to reduce communicable infections in office settings that Kent State University. He then worked on a longitudinal statewide registry of vascular surgeries, carotid and peripheral vascular interventions in the Division of Cardiology at University of Michigan, developing prediction models of procedure outcomes using machine learning to identify important risk factors, risk stratify patients and risk-adjust hospital comparisons.

Dr. Grey currently manages the Bioinformatics Core Services (BiCS) group in the Surgical Critical Care Initiative, and has an appointment as assistant professor in the Department of Surgery. He leads a team of biostatisticians, bioinformaticians and programmers developing machine learning algorithms that utilize complex clinical and biomarker data to create computerized decision support tools (CDSTs) that can be deployed in the care of critically injured patients. The team also aids the development and conduct of clinical trials to provide evidence of safety and efficacy of CDSTs as well as various observational studies of critical care. Dr. Grey’s statistical expertise also includes developing and running individual and cluster randomized trials, and statistical methods for causal inference such as propensity scores, statistical mediation, complier average causal effects and targeted maximum likelihood estimation.

Career Highlights: Positions, Projects, Deployements, Awards and Additional Publications

2021 – Present, Associate Director of Biostatistics, Surgical Critical Care Initiative, Uniformed Services University of the Health Sciences. Oversees group that provides analytic support to various research projects at SC2i, including the development of productive algorithms for computer decision support tools (CDSTs), clinical trials to evaluate CDSTs, various observational studies of critical care.

2017 – 2019 Research Statistician, Center for Clinical Research Network Coordination, RTI International. Served as lead statistician for multiple NIH clinical trial networks and large prospective observational studies.

2015 – 2017, Senior Statistician, Division of Cardiology, University of Michigan. Primary statistician for the Blue Cross Blue Shield of Michigan Cardiovascular Consortium Vascular Interventions Collaborative (BMC2 VIC) a prospective, longitudinal statewide registry of vascular surgeries, carotid and peripheral vascular interventions.

2009 – 2014, Lecturer in Biostatistics, College of Public Health, Kent State University. Taught graduate and undergraduate statistics courses the public health students, served as statistical consultant for faculty and graduate students on a wide variety of research projects.

2005 – 2009, Statistician, Institute for Health and Social Policy, University of Akron. Primary statistician for a large cluster randomized trial conducted in 82 schools in six cities across United States.

1995 – 2005, Project Coordinator/Statistician, Department of Family Medicine, Case Western Reserve University. Served as project coordinator for studies conducted by faculty, fellows and residents including data management and analysis, assisted with the development of presentations and publications

Representative Bibliography