Inference on the symmetry point-based optimal cut-off point and associated sensitivity and specificity with application to SARS-CoV-2 antibody data

Reiser, Benjamin Nakas, Christos T. Pardo Llorente, M. Carmen Franco-Pereira, Alba María

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Inference on the symmetry point-based optimal cut-off point and associated sensitivity and specificity with application to SARS-CoV-2 antibody data - RP:5241

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https://hdl.handle.net/20.500.11797/RP5241

Author, as appears in the article.:	Reiser, Benjamin Nakas, Christos T. Pardo Llorente, M. Carmen Franco-Pereira, Alba María
Journal publication year:	2023
Publication Type:	##rt.metadata.pkp.peerReviewed## info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article
Abstract:	In the presence of a continuous response test/biomarker, it is often necessary to identify a cut-off point value to aid binary classification between diseased and non-diseased subjects. The symmetry-point approach which maximizes simultaneously both types of correct classification is one way to determine an optimal cut-off point. In this article, we study methods for constructing confidence intervals independently for the symmetry point and its corresponding sensitivity, as well as respective joint nonparametric confidence regions. We illustrate using data on the generation of antibodies elicited two weeks post-injection after the second dose of the Pfizer/BioNTech vaccine in adult healthcare workers.
Keywords:	empirical likelihood function

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Description:	In the presence of a continuous response test/biomarker, it is often necessary to identify a cut-off point value to aid binary classification between diseased and non-diseased subjects. The symmetry-point approach which maximizes simultaneously both types of correct classification is one way to determine an optimal cut-off point. In this article, we study methods for constructing confidence intervals independently for the symmetry point and its corresponding sensitivity, as well as respective joint nonparametric confidence regions. We illustrate using data on the generation of antibodies elicited two weeks post-injection after the second dose of the Pfizer/BioNTech vaccine in adult healthcare workers.
Type:	SORT:ART ##rt.metadata.pkp.peerReviewed## info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article
Títol:	Inference on the symmetry point-based optimal cut-off point and associated sensitivity and specificity with application to SARS-CoV-2 antibody data
Subject:	empirical likelihood function
Format:	application/zip application/pdf
Creator:	Reiser, Benjamin Nakas, Christos T. Pardo Llorente, M. Carmen Franco-Pereira, Alba María
Date:	2023
Publisher:	Universitat Rovira i Virgili Institut d'Estadística de Catalunya Universitat de Lleida Universitat de Girona Universitat Pompeu Fabra Universitat Politècnica de Catalunya Universitat Autònoma de Barcelona Universitat de Barcelona

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