Flexible functional regression methods for estimating individualized treatment rules

DOI10.1002/sta4.114MaRDI QIDQ6539178

Eva Petkova, Adam Ciarleglio, Thaddeus Tarpey, Robert Todd Ogden

Publication date: 14 May 2024

Published in: Stat (Search for Journal in Brave)

zbMATH Keywords

additive modelsfunctional dataQ-learningimaging datatreatment regimea-learning

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

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Cites Work

• Performance guarantees for individualized treatment rules
• Bayesian inference for causal effects: The role of randomization
• \({\mathcal Q}\)-learning
• Functional data analysis.
• Treatment decisions based on scalar and functional baseline covariates
• Tree-based methods for individualized treatment regimes
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning
• A Robust Method for Estimating Optimal Treatment Regimes
• A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates
• Estimation of treatment policies based on functional predictors
• Optimal Structural Nested Models for Optimal Sequential Decisions
• Estimating optimal treatment regimes from a classification perspective

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