Empirical likelihood ratio confidence interval estimation of best linear combinations of biomarkers

DOI10.1016/j.csda.2014.09.010OpenAlexW2105236952MaRDI QIDQ1623755

Marianthi Markatou, Albert Vexler, Xiwei Chen

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2014.09.010

zbMATH Keywords

kernelempirical likelihoodarea under the ROC curvebest linear combinationreceiver operating characteristic curve (ROC)

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric tolerance and confidence regions (62G15)

Related Items

Multi-Panel Kendall plot in light of an ROC curve analysis applied to measuring dependence, Linear biomarker combination for constrained classification, Combination of multiple functional markers to improve diagnostic accuracy, Combining binary and continuous biomarkers by maximizing the area under the receiver operating characteristic curve

Uses Software

• R

Cites Work

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