Propensity Score in the Face of Interference: Discussion of Rosenbaum and Rubin (1983)

Abstract

Rosenbaum and Rubin’s (1983) propensity score revolutionized the field of causal inference and has emerged as a standard tool when researchers reason about cause-and-effect relationship across many disciplines. This discussion centers around the key “no interference” assumption in Rosenbaum and Rubin’s original development of the propensity score and reviews some recent advances in extending the propensity score to studies involving dependent happenings.

Bo Zhang

Assistant Professor of Biostatistics

My research interests include design of observational studies, instrumental variables, application of causal inference in medicine and applied statistics in general.