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      Atlantic Causal Inference Conference (ACIC) Data Analysis Challenge 2017

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          Abstract

          This brief note documents the data generating processes used in the 2017 Data Analysis Challenge associated with the Atlantic Causal Inference Conference (ACIC). The focus of the challenge was estimation and inference for conditional average treatment effects (CATEs) in the presence of targeted selection, which leads to strong confounding. The associated data files and further plots can be found on the first author's web page.

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          Targeted Maximum Likelihood Learning

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            Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition

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              Effects of early intervention on cognitive function of low birth weight preterm infants

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                Author and article information

                Journal
                23 May 2019
                Article
                1905.09515
                f2986a46-6c69-433c-b741-00c3f7f21ff8

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                stat.ME stat.OT

                General statistics,Methodology
                General statistics, Methodology

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