The Coffman Lab is focused on expanding the methods available for the quantitative study of causation. For example, expanding methods to continuous treatments rather than only categories, studying mediation, and allowing causal effects and mediation to vary over time. These methods are very important for analyzing intensive longitudinal data such as wearable devices and the design of just-in-time adaptive interventions and other mobile health applications. Areas of substantive interest for these analyses and interventions are obesity prevention, smoking cessation, and substance abuse prevention and treatment.

Learn more about the Coffman Lab.