Deep advantage learning for optimal dynamic treatment regime

DOI10.1080/24754269.2018.1466096OpenAlexW2804306369WikidataQ93020271 ScholiaQ93020271MaRDI QIDQ5879958

Shuhan Liang, Rui Song, Wen-Bin Lu

Publication date: 7 March 2023

Published in: Statistical Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/24754269.2018.1466096

zbMATH Keywords

advantage learninginverse probability weightingconvolutional neural networksdynamic treatment regimeconvexified convolutional neural networks

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates, Learning Non-monotone Optimal Individualized Treatment Regimes

Uses Software

• Scikit
• TensorFlow
• CIFAR
• ImageNet
• AlexNet

Cites Work

• \(Q\)- and \(A\)-learning methods for estimating optimal dynamic treatment regimes
• Robust learning for optimal treatment decision with NP-dimensionality
• Performance guarantees for individualized treatment rules
• Multilayer feedforward networks are universal approximators
• \({\mathcal Q}\)-learning
• Randomization Analysis of Experimental Data: The Fisher Randomization Test
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning
• Optimal Dynamic Treatment Regimes
• Demystifying Optimal Dynamic Treatment Regimes
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