D-learning to estimate optimal individual treatment rules
From MaRDI portal
Publication:1616327
DOI10.1214/18-EJS1480zbMath1454.62381WikidataQ129000822 ScholiaQ129000822MaRDI QIDQ1616327
Publication date: 1 November 2018
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1540951343
Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) General considerations in statistical decision theory (62C05)
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Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data, Augmented direct learning for conditional average treatment effect estimation with double robustness, On Robustness of Individualized Decision Rules, Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension, Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates, Resampling‐based confidence intervals for model‐free robust inference on optimal treatment regimes, Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes, Generalization error bounds of dynamic treatment regimes in penalized regression-based learning
Uses Software
Cites Work
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