Quantiles based personalized treatment selection for multivariate outcomes and multiple treatments

DOI10.1002/SIM.9377zbMATH Open1547.6231MaRDI QIDQ6628577

Chathura Siriwardhana, K. B. Kulasekera

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

design variablesrank aggregationsingle index modelspersonalized treatmentsquantiles of outcomes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Single-index quantile regression
• Structure adaptive approach for dimension reduction.
• Optimal smoothing in single-index models
• Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules
• Adaptive Treatment Strategies in Practice
• Penalized Spline Estimation for Partially Linear Single-Index Models
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning
• Penalized Triograms: Total Variation Regularization for Bivariate Smoothing
• Set‐valued dynamic treatment regimes for competing outcomes
• Personalized treatment plans with multivariate outcomes
• New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes

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