Regression Discontinuity Approaches to Evaluate Threshold-Guided Interventions in Observational Studies
Introduces regression discontinuity designs for causal inference in observational medical studies.
Abstract
This article provides an introduction to the Regression Discontinuity (RD) design, and its application to empirical research in the medical sciences. While the main focus of this article is on causal interpretation, key concepts of estimation and inference are also briefly mentioned. A running medical empirical example is provided.