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The Regression Discontinuity Design in Medical Science

Matias D. Cattaneo, Rocio Titiunik

arXiv 5 Aug 2025 · Statistics — Methodology

arXiv:2508.03878 · PDF · Extracted main text

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.

Citation extraction

7
references
17
in-text mentions
7
distinct cited
3
self-citations
1,616
main-text words

appendix boundary found by none_found · 100% of the source is main text. Read the extracted text to check this.

Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Goulden, R., Rowe, B. H., Abrahamowicz, M., Strumpf, E., and Tamblyn… (2021) Association of intravenous radiocontrast with kidney function: a regression discontinuity analysis0.84333100%
2Cattaneo, M. D., Idrobo, N., and Titiunik, R (2020) A Practical Introduction to Regression Discontinuity Designs: Foundations self0.69351100%
3height .65ex depth -.6ex width 3em\ (2024) A Practical Introduction to Regression Discontinuity Designs: Extensions0.69351100%
4Cattaneo, M. D., Keele, L., and Titiunik, R (2023) A Guide to Regression Discontinuity Designs in Medical Applications self0.40511100%
5Cattaneo, M. D., and Titiunik, R (2022) Regression Discontinuity Designs self0.40511100%
6Lee, D. S., and Lemieux, T (2010) Regression Discontinuity Designs in Economics0.40511100%
7Rosenbaum, P. R (2010) Design of Observational Studies0.40511100%

Showing the top 7 of 7 scored citations.