A blended estimator for a measure of agreement with a gold standard

Ian R. Harris, Brent D. Burch, Roy T. St. Laurent

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


St. Laurent developed a measure of agreement for method comparison studies in which an approximate method of measurement was compared to a gold standard method of measurement. The measure of agreement proposed was shown to be related to a population intraclass correlation coefficient. In this paper, the authors develop a family of estimators for the measure of agreement based on pivotal quantities. A blend of two particular members of the family is suggested as an estimator itself. In general, the blended estimator outperforms the maximum likelihood estimator in terms of bias and mean-squared error.

Original languageEnglish (US)
Pages (from-to)326-339
Number of pages14
JournalJournal of Agricultural, Biological, and Environmental Statistics
Issue number3
StatePublished - Sep 2001


  • Concordance
  • Intraclass correlation coefficient
  • Method comparison studies
  • Pivotal quantity

ASJC Scopus subject areas

  • Statistics and Probability
  • Agricultural and Biological Sciences (miscellaneous)
  • General Environmental Science
  • General Agricultural and Biological Sciences
  • Statistics, Probability and Uncertainty
  • Applied Mathematics


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