• Corpus ID: 226237134

A framework for causal inference in the presence of extreme inverse probability weights: the role of overlap weights

@article{Matsouaka2020AFF,
  title={A framework for causal inference in the presence of extreme inverse probability weights: the role of overlap weights},
  author={Roland A. Matsouaka and Yunji Zhou},
  journal={arXiv: Methodology},
  year={2020}
}
In this paper, we consider recent progress in estimating the average treatment effect when extreme inverse probability weights are present and focus on methods that account for a possible violation of the positivity assumption. These methods aim at estimating the treatment effect on the subpopulation of patients for whom there is a clinical equipoise. We propose a systematic approach to determine their related causal estimands and develop new insights into the properties of the weights… 
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