Dr. Roy is Associate Professor of Biostatistics in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania. He is Co-Director of the Center for Causal Inference at Penn. Dr. Roy received his PhD from the University of Michigan in 2000. Areas of Expertise: • Causal inference • Missing data • Bayesian methods • Pharmacoepidemiology Major Works: Kim C, Daniels MJ, Marcus BH, Roy JA. A framework for Bayesian nonparametric inference for causal effects of mediation. Biometrics. 2016 Aug 1. doi:10.1111/biom.12575. Roy J, Lum KJ, Daniels MJ. A Bayesian nonparametric approach to marginal structural models for point treatments and a continuous or survival outcome. Biostatistics. 2017 Jan;18(1):32-47.


A Crash Course in Causality: Inferring Causal Effects from Observational Data