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  • April–June 2022
  • Other Article

Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'

By: Edward McFowland III
There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details
Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness
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