Machine Intelligence for Individualized Decision Making Under a Counterfactual World: A Rejoinder

DOI10.1080/01621459.2021.1872580zbMath1457.62339OpenAlexW3135526267MaRDI QIDQ5857142

Eric J. Tchetgen Tchetgen, Yifan Cui

Publication date: 30 March 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142945

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

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Regularizing Double Machine Learning in Partially Linear Endogenous Models ⋮ A generalized theory of separable effects in competing event settings

Cites Work

• Bounds on Treatment Effects From Studies With Imperfect Compliance
• Monotone Instrumental Variables: With an Application to the Returns to Schooling
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning
• Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes
• A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity
• Comment: Individualized Treatment Rules Under Endogeneity
• Discussion of Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020)

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