Evaluating agreement with a gold standard in method comparison studies

Research output: Contribution to journalArticle

48 Citations (Scopus)

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 1998

Fingerprint

Method Comparison
Statistical Models
Gold
gold
statistical models
Correlation coefficient
Statistical property
Population
Statistical Model
Estimator
Methodology
Coefficient
methodology
Standards
Model

Keywords

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

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Public Health, Environmental and Occupational Health
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics
  • Statistics and Probability

Cite this

Evaluating agreement with a gold standard in method comparison studies. / St Laurent, Roy T.

In: Biometrics, Vol. 54, No. 2, 06.1998, p. 537-545.

Research output: Contribution to journalArticle

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