Combining biomarkers to optimize patient treatment recommendations
type: Item
instance of: scholarly article
title: Combining biomarkers to optimize patient treatment recommendations
zbMATH Open document ID: 1299.62125
author: Chaeryon Kang
author: Holly Janes
author: Ying Huang
published in: Biometrics
publication date: 2014-11-04T00:00:00Z
full work available at URL: pmc4248022
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6365504
zbMATH Keywords: biomarker
zbMATH Keywords: boosting
zbMATH Keywords: model mis-specification
zbMATH Keywords: treatment selection
describes a project that uses: rgenoud
describes a project that uses: rpart
describes a project that uses: ElemStatLearn
describes a project that uses: ada
MaRDI profile type: Publication
OpenAlex ID: W1750038386
Wikidata QID: Q34588910
cites work: A Generalized Estimator of the Attributable Benefit of an Optimal Treatment Regime
cites work: Combining biomarkers to detect disease with application to prostate cancer
cites work: A decision-theoretic generalization of on-line learning and an application to boosting
cites work: Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve
cites work: Tree induction for probability-based ranking
cites work: Performance guarantees for individualized treatment rules
cites work: Evaluating Markers for Selecting a Patient's Treatment
cites work: A Robust Method for Estimating Optimal Treatment Regimes
cites work: Estimating Individualized Treatment Rules Using Outcome Weighted Learning
DOI: 10.1111/BIOM.12191
description: scientific article; zbMATH DE number 6365504