Causal Bias Quantification for Continuous Treatments

We extend the definition of the marginal causal effect to the continuous treatment setting and develop a novel characterization of causal bias in the framework of structural causal models. We prove that our derived bias expression is zero if, and only if, the causal effect is identifiable via covari...

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Hauptverfasser:	Detommaso, Gianluca, Brückner, Michael, Schulz, Philip, Chernozhukov, Victor
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Statistics - Machine Learning Statistics - Methodology
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