Open Access
February 2019 Comment: Will Competition-Winning Methods for Causal Inference Also Succeed in Practice?
Qingyuan Zhao, Luke J. Keele, Dylan S. Small
Statist. Sci. 34(1): 72-76 (February 2019). DOI: 10.1214/18-STS680


First, we would like to congratulate the authors for successfully hosting the causal inference data competition (referred to as Competition henceforth) and contributing a unique and thought-provoking article to the literature. The authors have provided a comprehensive and timely platform to evaluate the ever-growing number of methods used for covariate adjustment in observational studies. In our comment, we don’t generally question the results of the competition, but we do wish to emphasize several other key elements about the role statistics plays in causal inference and observational studies.


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Qingyuan Zhao. Luke J. Keele. Dylan S. Small. "Comment: Will Competition-Winning Methods for Causal Inference Also Succeed in Practice?." Statist. Sci. 34 (1) 72 - 76, February 2019.


Published: February 2019
First available in Project Euclid: 12 April 2019

zbMATH: 07110676
MathSciNet: MR3938965
Digital Object Identifier: 10.1214/18-STS680

Keywords: machine learning , observational studies , study design

Rights: Copyright © 2019 Institute of Mathematical Statistics

Vol.34 • No. 1 • February 2019
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