Biostatistics
School of Public Health
Twin Cities
Award Year
2019
University Award
McKnight Presidential Fellow Award
No Monument Location
Right treatment for the right patient at the right time
David Vock develops methods for causal inference — a set of statistical tools used to determine the effect of an intervention from observational data – and dynamic treatment regimes, which are used to evaluate and advance personalized treatment strategies. His work has contributed to understanding the survival benefit of lung transplantation and he developed novel statistical methods for evaluating approaches to distributing cadaveric organs to those awaiting transplantation. He is currently developing methodology for tobacco regulatory science to gauge the impact of potential product regulation.