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Treatment Effect Performance of the X-Learner in the Presence of Confounding and Non-Linearity

This study critically evaluates a recent machine learning method called the X-Learner, that aims to estimate treatment effects by predicting counterfactual quantities. It uses information from the treated group to predict counterfactuals for the control group and vice versa. The problem is that stud...

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Bibliografische gegevens
Hoofdauteurs: Bevan I. Smith, Charles Chimedza, Jacoba H. Bührmann
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2023-02-01
Reeks:Mathematical and Computational Applications
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Online toegang:https://www.mdpi.com/2297-8747/28/2/32
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