A Single-Index Model With a Surface-Link for Optimizing Individualized Dose Rules

DOI10.1080/10618600.2021.1923521OpenAlexW3157606612MaRDI QIDQ5084453

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Publication date: 24 June 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.00267

zbMATH Keywords

single-index modelsheterogeneous dose effectsindividualized dose rulestensor product P-splines

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Change-Plane Analysis for Subgroup Detection with a Continuous Treatment ⋮ simsl

Uses Software

• R
• mgcv
• gamair

Cites Work

• A Parsimonious Personalized Dose Finding Model via Dimension Reduction
• Doubly robust policy evaluation and optimization
• The multi-armed bandit problem with covariates
• Performance guarantees for individualized treatment rules
• Causal inference for complex longitudinal data: the continuous case.
• Tree-based methods for individualized treatment regimes
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning
• Optimal Dynamic Treatment Regimes
• Bandit Algorithms
• Bandits and Experts in Metric Spaces
• Low‐Rank Scale‐Invariant Tensor Product Smooths for Generalized Additive Mixed Models
• Optimal Structural Nested Models for Optimal Sequential Decisions
• Non-parametric Methods for Doubly Robust Estimation of Continuous Treatment Effects
• Statistical Inference for Online Decision Making: In a Contextual Bandit Setting
• Doubly Robust Estimation of Optimal Dosing Strategies
• A practical guide to splines.
• A constrained single‐index regression for estimating interactions between a treatment and covariates
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