Q-learning with censored data

DOI10.1214/12-AOS968zbMath1246.62206arXiv1205.6659WikidataQ34323965 ScholiaQ34323965MaRDI QIDQ450048

Yair Goldberg, Michael R. Kosorok

Publication date: 3 September 2012

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1205.6659

zbMATH Keywords

survival analysisreinforcement learninggeneralization error

Mathematics Subject Classification ID

Related Items (23)

Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data ⋮ Optimal dynamic treatment regimes with survival endpoints: introducing DWSurv in the R package DTRreg ⋮ Assessing quantile prediction with censored quantile regression models ⋮ Functional Feature Construction for Individualized Treatment Regimes ⋮ Quantile-Optimal Treatment Regimes ⋮ Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes ⋮ Estimation for optimal treatment regimes with survival data under semiparametric model ⋮ Adaptive contrast weighted learning for multi‐stage multi‐treatment decision‐making ⋮ Fairness-Oriented Learning for Optimal Individualized Treatment Rules ⋮ A General Framework for Subgroup Detection via One-Step Value Difference Estimation ⋮ Optimal Treatment Regimes: A Review and Empirical Comparison ⋮ Threshold Estimation in Proportional Mean Residual Life Model ⋮ Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes ⋮ Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection ⋮ Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates ⋮ Learning Non-monotone Optimal Individualized Treatment Regimes ⋮ Dynamic treatment regimes using Bayesian additive regression trees for censored outcomes ⋮ iFusion: Individualized Fusion Learning ⋮ Estimating Optimal Dynamic Treatment Regimes With Survival Outcomes ⋮ Q-learning with censored data ⋮ Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes ⋮ Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules ⋮ Semiparametric single-index models for optimal treatment regimens with censored outcomes

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