• DOI:10.1002/sim.6486
Corpus ID: 5383662

Bayesian regression discontinuity designs: incorporating clinical knowledge in the causal analysis of primary care data

@article{Geneletti2015BayesianRD,
  title={Bayesian regression discontinuity designs: incorporating clinical knowledge in the causal analysis of primary care data},
  author={S. Geneletti and A. O'Keeffe and L. Sharples and S. Richardson and G. Baio},
  journal={Statistics in Medicine},
  year={2015},
  volume={34},
  pages={2334 - 2352}
}

S. Geneletti, A. O'Keeffe, +2 authors G. Baio

Published 2015

Computer Science, Mathematics, Medicine

Statistics in Medicine

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 be applied in any context where a particular treatment or intervention is administered according to a pre‐specified rule linked to a continuous variable. Such thresholds are common in primary care drug prescription where the RD design can be used to estimate the causal effect of medication in the general population… CONTINUE READING

View on PubMed

eprints.whiterose.ac.uk

Save to Library

Create Alert

Cite

Launch Research Feed