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

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

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
Volume6
Issue number3
DOIs
StatePublished - Sep 2001

Fingerprint

Gold
gold
Estimator
Method Comparison
Pivotal Quantity
Intraclass Correlation Coefficient
Maximum likelihood
Mean Squared Error
Maximum Likelihood Estimator
methodology
Population
Standards
method
Gold standard
Family
family
comparison
Mean squared error
Maximum likelihood estimator
Blends

Keywords

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

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Environmental Science(all)
  • Applied Mathematics
  • Statistics and Probability

Cite this

A blended estimator for a measure of agreement with a gold standard. / Harris, Ian R.; Burch, Brent D; St Laurent, Roy T.

In: Journal of Agricultural, Biological, and Environmental Statistics, Vol. 6, No. 3, 09.2001, p. 326-339.

Research output: Contribution to journalArticle

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