Bayesian estimation of diagnostic accuracy measures when there is no gold standard: a Helicobacter Pylori data application

ARSLAN Y. K.

CUKUROVA MEDICAL JOURNAL, vol.46, no.4, pp.1548-1557, 2021 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 46 Issue: 4
  • Publication Date: 2021
  • Doi Number: 10.17826/cumj.1003633
  • Journal Name: CUKUROVA MEDICAL JOURNAL
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Academic Search Premier, Directory of Open Access Journals, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.1548-1557
  • Keywords: Bayesian approach, prior information, gold standard, diagnostics tests, Helicobacter Pylori, prior information, SAMPLE-SIZE, ABSENCE, PREVALENCE
  • Çukurova University Affiliated: No

Abstract

Purpose: Diagnostic tests are used for defining the disease status of person in a heterogeneous population which consists of healthy and diseased people. In this study, it was aimed to obtain the accuracy measures of the diagnostic test with the Bayesian approach when there was no gold standard test, and to compare it with other methods.