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

• Alba María Franco-Pereira ^[1] ; M. Carmen Pardo Llorente ^[1] ; Christos T. Nakas ^[2] ; Benjamin Reiser ^[3]
  1. [1] Universidad Complutense de Madrid

     Universidad Complutense de Madrid

     Madrid, España

     
  2. [2] University Of Thessaly

     University Of Thessaly

     Dimos Volos, Grecia

     
  3. [3] University of Bern

     University of Bern

     Bern/Berne/Berna, Suiza

     

  Mostrar afiliaciones +
• Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 47, Nº. 1, 2023, págs. 187-204
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• 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.