Bayesian propensity score analysis for observational data.

  title={Bayesian propensity score analysis for observational data.},
  author={Lawrence C McCandless and Paul Gustafson and Peter C. Austin},
  journal={Statistics in medicine},
  volume={28 1},
In the analysis of observational data, stratifying patients on the estimated propensity scores reduces confounding from measured variables. Confidence intervals for the treatment effect are typically calculated without acknowledging uncertainty in the estimated propensity scores, and intuitively this may yield inferences, which are falsely precise. In this paper, we describe a Bayesian method that models the propensity score as a latent variable. We consider observational studies with a… CONTINUE READING