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stat.ME2025
The Regression Discontinuity Design in Medical Science
Matias D. Cattaneo, Rocio Titiunik
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 a…
stat.ME2025
rd2d: Causal Inference in Boundary Discontinuity Designs
Matias D. Cattaneo, Rocio Titiunik, Ruiqi Rae Yu
Boundary Discontinuity (BD) designs are used in empirical research to learn about causal treatment effects along a continuous assignment boundary defined by a bivariate score. Thes…
stat.ME2025
Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference
Matias D. Cattaneo, Yihan He, Ruiqi Rae Yu
This paper develops methods for uncertainty quantification in causal inference settings with random network interference. We study the large-sample distributional properties of the…