The Regression Discontinuity Design in Medical Science

TL;DR

This paper introduces the Regression Discontinuity design and its application in medical research, emphasizing causal inference, estimation, and inference, supported by a medical example.

Contribution

It provides an accessible introduction to RD design tailored for medical sciences, highlighting its potential for causal analysis in empirical studies.

Findings

Illustrates RD application with a medical example

Highlights importance of causal interpretation in medical research

Summarizes key concepts of estimation and inference in RD

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.