Nonparametric predictive inference for diagnostic test thresholds
Volume: 49, Issue: 3, Pages: 697 - 725
Published: Dec 28, 2018
Abstract
Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine, machine learning and credit scoring. The receiver operating characteristic (ROC) curve and surface are useful tools to assess the ability of diagnostic tests to discriminate between ordered classes or groups. To define these diagnostic tests, selecting the optimal thresholds that maximize the accuracy of these tests is required. One procedure that...
Paper Details
Title
Nonparametric predictive inference for diagnostic test thresholds
Published Date
Dec 28, 2018
Volume
49
Issue
3
Pages
697 - 725
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