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February 2019 Comment: Spherical Cows in a Vacuum: Data Analysis Competitions for Causal Inference
Miguel A. Hernán
Statist. Sci. 34(1): 69-71 (February 2019). DOI: 10.1214/18-STS684

Abstract

A recent data analysis competition compared the performance of several methods for causal inference from observational data. However, sound causal inference requires not only adequate data analysis techniques but also subject-matter expertise about the causal structure of the problem under study. Therefore, until a methodology is developed to combine data analysis and subject-matter knowledge, causal inference competitions may only provide advice to practitioners under ideal conditions.

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Miguel A. Hernán. "Comment: Spherical Cows in a Vacuum: Data Analysis Competitions for Causal Inference." Statist. Sci. 34 (1) 69 - 71, February 2019. https://doi.org/10.1214/18-STS684

Information

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

zbMATH: 07110675
MathSciNet: MR3938964
Digital Object Identifier: 10.1214/18-STS684

Rights: Copyright © 2019 Institute of Mathematical Statistics

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Vol.34 • No. 1 • February 2019
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