We propose new methods that provide approximate joint confidence regions for the optimal sensitivity and specificity of a diagnostic test, fixed by the Youden index criterion. Such methods are semiparametric and overcome limitations of alternative approaches available in the literature. Our proposal is based on empirical likelihood pivots and covers two situations: binormal model and binormal model after the use of Box-Cox transformations. In the last case, we show how to use two different transformations, for the healthy and the diseased subjects.

Gianfranco Adimari, Duc-Khanh To, Monica Chiogna (2022). Confidence regions for optimal sensitivity and specificity of a diagnostic test.

Confidence regions for optimal sensitivity and specificity of a diagnostic test

Monica Chiogna
2022

Abstract

We propose new methods that provide approximate joint confidence regions for the optimal sensitivity and specificity of a diagnostic test, fixed by the Youden index criterion. Such methods are semiparametric and overcome limitations of alternative approaches available in the literature. Our proposal is based on empirical likelihood pivots and covers two situations: binormal model and binormal model after the use of Box-Cox transformations. In the last case, we show how to use two different transformations, for the healthy and the diseased subjects.
2022
Book of Short Papers SIS 2022
2000
2005
Gianfranco Adimari, Duc-Khanh To, Monica Chiogna (2022). Confidence regions for optimal sensitivity and specificity of a diagnostic test.
Gianfranco Adimari;Duc-Khanh To;Monica Chiogna
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/927985
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