Evaluating agreement with a gold standard in method comparison studies

Roy T. St. Laurent

Research output: Contribution to journalArticlepeer-review

56 Scopus citations


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
Issue number2
StatePublished - Jun 1998


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

ASJC Scopus subject areas

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


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