Tuning Random Forests for Causal Inference under Cluster-Level Unmeasured Confounding.
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DOI: 10.1080/00273171.2021.1994364
Abstract: Recently, there has been growing interest in using machine learning methods for causal inference due to their automatic and flexible ability to model the propensity score and the outcome model. However, almost all the machine… read more here.
Keywords: causal inference; level unmeasured; unmeasured confounding; cluster level ... See more keywords