Evaluating agreement with a gold standard in method comparison studies

Research output: Contribution to journalArticle

48 Scopus citations

Abstract

We develop a statistical model for method comparison studies where a gold standard is present and propose a measure of agreement. This measure can be interpreted as a population correlation coefficient in a constrained bivariate model. An estimator of this coefficient is proposed and its statistical properties explored. Applications of the new methodology to data from the medical literature are presented.

Original languageEnglish (US)
Pages (from-to)537-545
Number of pages9
JournalBiometrics
Volume54
Issue number2
DOIs
StatePublished - Jun 1 1998

Keywords

  • Agreement
  • Correlation
  • Gold standard
  • Intraclass correlation coefficient
  • Method comparison study
  • Random effects model

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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