- Statist. Sci.
- Volume 34, Number 1 (2019), 69-71.
Comment: Spherical Cows in a Vacuum: Data Analysis Competitions for Causal Inference
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.
Statist. Sci., Volume 34, Number 1 (2019), 69-71.
First available in Project Euclid: 12 April 2019
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Hernán, Miguel A. Comment: Spherical Cows in a Vacuum: Data Analysis Competitions for Causal Inference. Statist. Sci. 34 (2019), no. 1, 69--71. doi:10.1214/18-STS684. https://projecteuclid.org/euclid.ss/1555056031
- Main article: Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition.