Accounting for clinical covariates and interactions in ranking genomic markers using ROC

DOI10.1080/03610918.2015.1105972zbMath1368.62296OpenAlexW2564415729MaRDI QIDQ4976565

Tao Yu, Shuangge Ma, Jia-Liang Li

Publication date: 31 July 2017

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2015.1105972

zbMATH Keywords

interactionshigh-dimensional dataROCclinical-covariatesdiagnostic accuracy improvement measureranking markers

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Cites Work

• Logistic regression. A self-learning text. With contributions by Erica Rihl Pryor
• Large computation of the maximum rank correlation estimator
• Selecting Differentially Expressed Genes from Microarray Experiments
• Adaptive Confidence Intervals for the Test Error in Classification
• Penalised variable selection with U-estimates
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Combining Multiple Markers for Classification Using ROC

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