Regularized outcome weighted subgroup identification for differential treatment effects

DOI10.1111/biom.12322zbMath1419.62483OpenAlexW2147403249WikidataQ33575291 ScholiaQ33575291MaRDI QIDQ2803485

Yaoyao Xu, Quefeng Li, Sijian Wang, Jun Shao, Menggang Yu, Ying-Qi Zhao

Publication date: 4 May 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5395466

zbMATH Keywords

subgroupregularizationvariable selectioncomparative effectivenessheterogeneity of treatment effectiveness

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (8)

Interval estimation for minimal clinically important difference and its classification error via a bootstrap scheme ⋮ Personalised treatment assignment maximising expected benefit with smooth hinge loss ⋮ Treatment recommendation and parameter estimation under single-index contrast function ⋮ A Semiparametric Approach to Model Effect Modification ⋮ Estimating individualized treatment rules with risk constraint ⋮ A robust threshold \(t\) linear mixed model for subgroup identification using multivariate T distributions ⋮ An Algorithm for Generating Individualized Treatment Decision Trees and Random Forests ⋮ Interpretable Dynamic Treatment Regimes

Uses Software

• qLearn

Cites Work

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