2 citations · 2 across the 3 of their papers we have counts for
3 papers
Bayesian modelling for binary outcomes in the Regression Discontinuity Design
Sara Geneletti, Federico Ricciardi, Aidan O'Keeffe +1
The Regression Discontinuity (RD) design is a quasi-experimental design which emulates a randomised study by exploiting situations where treatment is assigned according to a contin…
Regression Discontinuity Designs: A Decision Theoretic Approach
Panayiota Constantinou, Aidan G. O'Keeffe
The regression discontinuity design (RDD) is a quasi-experimental design that can be used to identify and estimate the causal effect of a treatment using observational data. In an…
Bayesian regression discontinuity designs: Incorporating clinical knowledge in the causal analysis of primary care data
Sara Geneletti, Aidan G. O'Keeffe, Linda D. Sharples +2
The regression discontinuity (RD) design is a quasi-experimental design that estimates the causal effects of a treatment by exploiting naturally occurring treatment rules. It can b…