David Vock, PhD
Associate Professor, Division of Biostatistics
PhD, Statistics, North Carolina State University, 2012
MStat, Statistics, North Carolina State University, 2009
BA, Mathematics and Chemistry, St. Olaf College, 2007
My research focuses on two major areas. The first is statistical methods development for electronic health data with a particular focus on development of machine learning techniques to handle censored data. Second, I work on novel methods for causal inference and estimation of dynamic treatment regimes (DTRs). This includes methods for novel clinical trials (e.g., SMART designs) used to test DTRs. I also collaborate on projects related to transplantation, smoking cessation, cardiovascular disease, and infectious disease.
Chronic diseases, methods, causal inference, clinical trials, adaptive interventions, dynamic treatment regimes, semiparametric theory, machine learning, electronic health data, transplantation.
Awards and Recognition
- Member, Delta Omega Honorary Society in Public Health