Comment: The Challenges of Multiple Causes

Kosuke Imai and Zhichao Jiang

Journal of the American Statistical Association, 2019, vol. 114, issue 528, 1605-1610

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.

Date: 2019
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DOI: 10.1080/01621459.2019.1689137

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