Professor Joe Koopmeiners

This group develops novel statistical methods for the design and analysis of complex, innovative trial designs. Current areas of focus are developing Bayesian adaptive methods for clinical trials and novel approaches to causal inference and treatment effect heterogeneity, with applications to tobacco regulatory science, COVID-19, and learning health systems.