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

Autor según el artículo:	Reiser, Benjamin Nakas, Christos T. Pardo Llorente, M. Carmen Franco-Pereira, Alba María
Año de publicación de la revista:	2023
Tipo de publicación:	##rt.metadata.pkp.peerReviewed## info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article
Resumen:	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.
Palabras clave:	empirical likelihood function

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Descripción:	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.
Tipo:	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
Materia:	empirical likelihood function
Formato:	application/zip application/pdf
Autor:	Reiser, Benjamin Nakas, Christos T. Pardo Llorente, M. Carmen Franco-Pereira, Alba María
Fecha:	2023
Editor:	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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