Casual Causal @ UC Berkeley: Home

The Casual Causal Group at UC Berkeley works on causal inference problems motivated by a wide range of applications, including epidemiology, clinical trials, public policy, and many others. This includes research on theory and methods for causal inference such as semiparametric theory, randomization inference, and robust statistics, as well as domain-specific applied work. Our faculty and students, primarily based in the Statistics Department, also maintain strong connections with other departments such as Biostatistics, Political Science, and Public Policy.