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@article{imai2004causal,
title={Causal inference with general treatment regimes: Generalizing the propensity score},
author={Imai, Kosuke and Van Dyk, David A},
journal={Journal of the American Statistical Association},
volume={99},
number={467},
pages={854--866},
year={2004},
publisher={Taylor \& Francis}
}
@article{hill2011bayesian,
title={Bayesian nonparametric modeling for causal inference},
author={Hill, Jennifer L},
journal={Journal of Computational and Graphical Statistics},
volume={20},
number={1},
pages={217--240},
year={2011},
publisher={Taylor \& Francis}
}
@article{peikes2008propensity,
title={Propensity score matching: A note of caution for evaluators of social programs},
author={Peikes, Deborah N and Moreno, Lorenzo and Orzol, Sean Michael},
journal={The American Statistician},
volume={62},
number={3},
pages={222--231},
year={2008},
publisher={Taylor \& Francis}
}
@inproceedings{chan2010evaluating,
title={Evaluating online ad campaigns in a pipeline: causal models at scale},
author={Chan, David and Ge, Rong and Gershony, Ori and Hesterberg, Tim and Lambert, Diane},
booktitle={Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining},
pages={7--16},
year={2010}
}
@article{austin2011introduction,
title={An introduction to propensity score methods for reducing the effects of confounding in observational studies},
author={Austin, Peter C},
journal={Multivariate behavioral research},
volume={46},
number={3},
pages={399--424},
year={2011},
publisher={Taylor \& Francis}
}