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Robust Q-Learning (Q5857152)

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scientific article; zbMATH DE number 7329749

Language	Label	Description	Also known as
English	Robust Q-Learning	scientific article; zbMATH DE number 7329749

Statements

scholarly article

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Robust Q-Learning (English)

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Ashkan Ertefaie

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Robert L. Strawderman

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Journal of the American Statistical Association

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publication date

30 March 2021

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full work available at URL

https://arxiv.org/abs/2003.12427

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190585

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zbMATH Keywords

cross-fitting

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data-adaptive techniques

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dynamic treatment strategies

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residual confounding

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research

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Doubly‐Robust Estimators of Treatment‐Specific Survival Distributions in Observational Studies with Stratified Sampling

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Doubly robust nonparametric inference on the average treatment effect

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Valid post-selection inference

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Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules

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Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data

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Inference for Optimal Dynamic Treatment Regimes Using an Adaptive <i>m</i> ‐Out‐of‐ <i>n</i> Bootstrap Scheme

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Statistical methods for dynamic treatment regimes. Reinforcement learning, causal inference, and personalized medicine

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Double/debiased machine learning for treatment and structural parameters

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Asymptotics of cross-validated risk estimation in estimator selection and performance assess\-ment

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Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data

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Dynamic treatment regimes: technical challenges and applications

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Optimal Dynamic Treatment Regimes

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Estimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders

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Root-N-Consistent Semiparametric Regression

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Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse

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\(Q\)- and \(A\)-learning methods for estimating optimal dynamic treatment regimes

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Consistency of random forests

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High-dimensional \(A\)-learning for optimal dynamic treatment regimes

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Semiparametric theory and missing data.

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Unified methods for censored longitudinal data and causality

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Oracle inequalities for multi-fold cross validation

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Bias-Reduced Doubly Robust Estimation

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Doubly-robust dynamic treatment regimen estimation via weighted least squares

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\({\mathcal Q}\)-learning

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A Robust Method for Estimating Optimal Treatment Regimes

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Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions

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Estimating Individualized Treatment Rules Using Outcome Weighted Learning

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Reinforcement Learning Strategies for Clinical Trials in Nonsmall Cell Lung Cancer

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New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes

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Identifiers

zbMATH Open document ID

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10.1080/01621459.2020.1753522

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:5857152

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