My name is Donna Coffman. I'm a statistician and quantitative psychologist interested in causal inference and mediation. I have a Ph.D. in quantitative psychology from the University of North Carolina, Chapel Hill. I serve as an associate professor in the Department of Psychology in the College of Arts & Sciences at University of South Carolina.
My research work 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 (including wearable devices) and the design of just-in-time adaptive interventions and other mobile health (mHealth) applications. My particular areas of substantive interest for these analyses and interventions are obesity prevention, smoking cessation, and substance abuse prevention and treatment.
Please feel free to contact me at [email protected].
My other sites: USC faculty profile,
GitHub site,
CV,
Google Scholar profile.
My research work 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 (including wearable devices) and the design of just-in-time adaptive interventions and other mobile health (mHealth) applications. My particular areas of substantive interest for these analyses and interventions are obesity prevention, smoking cessation, and substance abuse prevention and treatment.
Please feel free to contact me at [email protected].
My other sites: USC faculty profile,
GitHub site,
CV,
Google Scholar profile.