# 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} }

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…

## 1,069 Citations

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