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
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