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Combining Biomarkers Linearly and Nonlinearly for Classification Using the Area Under the ROC Curve

In biomedical studies, it is often of interest to classify/predict a subject’s disease status based on a variety of biomarker measurements. A commonly used classification criterion is based on AUC - Area under the Receiver Operating Characteristic Curve. Many methods have been proposed to optimize a...

詳細記述

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書誌詳細
出版年:Stat Med
主要な著者: Fong, Youyi, Yin, Shuxin, Huang, Ying
フォーマット: Artigo
言語:Inglês
出版事項: 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4965290/
https://ncbi.nlm.nih.gov/pubmed/27058981
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6956
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