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Comment: The Challenges of Multiple Causes

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  • Kosuke Imai
  • Zhichao Jiang

Abstract

We begin by congratulating Yixin Wang and David Blei for their thought-provoking article that opens up a new research frontier in the field of causal inference. The authors directly tackle the challenging question of how to infer causal effects of many treatments in the presence of unmeasured confounding. We expect their article to have a major impact by further advancing our understanding of this important methodological problem. This commentary has two goals. We first critically review the deconfounder method and point out its advantages and limitations. We then briefly consider three possible ways to address some of the limitations of the deconfounder method.

Suggested Citation

  • Kosuke Imai & Zhichao Jiang, 2019. "Comment: The Challenges of Multiple Causes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(528), pages 1605-1610, October.
    • Handle: RePEc:taf:jnlasa:v:114:y:2019:i:528:p:1605-1610
    DOI: 10.1080/01621459.2019.1689137
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