Peter Aronow

Peter M. Aronow focuses on developing statistical methods for causal inference with experimental or observational data, primarily in the design-based paradigm. Dr. Aronow's work is interdisciplinary, including publications in political science, biostatistics, statistics, and epidemiology. Dr. Aronow's current research focuses on developing statistical theory and methods in non-traditional settings associated with field research: e.g., complex experimental designs, causal inference with social networks, and surveys with incomplete data.