Discussion of Kallus and Mo, Qi, and Liu: New Objectives for Policy Learning

DOI10.1080/01621459.2020.1844718zbMath1464.62477OpenAlexW3146252818MaRDI QIDQ4999142

Oliver Dukes, Stijn Vansteelandt

Publication date: 6 July 2021

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

Full work available at URL: https://doi.org/10.1080/01621459.2020.1844718

zbMATH Keywords

optimisationefficient policy learningindividualized treatment regimes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Causal inference from observational studies (62D20)

Related Items (1)

Assumption-Lean Cox Regression

Uses Software

• conformalInference

Cites Work

• Unnamed Item
• Distribution-Free Predictive Inference For Regression
• External validity: from do-calculus to transportability across populations
• Structural nested models and G-estimation: the partially realized promise
• Statistical methods for dynamic treatment regimes. Reinforcement learning, causal inference, and personalized medicine
• Confounding and collapsibility in causal inference
• Optimal Structural Nested Models for Optimal Sequential Decisions

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