Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization

@article{Hirano2001EstimationOC,
  title={Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization},
  author={Keisuke Hirano and Guido Imbens},
  journal={Health Services and Outcomes Research Methodology},
  year={2001},
  volume={2},
  pages={259-278}
}
  • K. HiranoG. Imbens
  • Published 1 December 2001
  • Economics, Mathematics
  • Health Services and Outcomes Research Methodology
We consider methods for estimating causal effects of treatments when treatment assignment is unconfounded with outcomes conditional on a possibly large set of covariates. Robins and Rotnitzky (1995) suggested combining regression adjustment with weighting based on the propensity score (Rosenbaum and Rubin, 1983). We adopt this approach, allowing for a flexible specification of both the propensity score and the regression function. We apply these methods to data on the effects of right heart… 
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