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

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

doi:10.1198/108571101317096541

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

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

Mathematics and Statistics

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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 language	English (US)
Pages (from-to)	326-339
Number of pages	14
Journal	Journal of Agricultural, Biological, and Environmental Statistics
Volume	6
Issue number	3
DOIs	https://doi.org/10.1198/108571101317096541
State	Published - Sep 2001

Keywords

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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10.1198/108571101317096541

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AB - 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.

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KW - Intraclass correlation coefficient

KW - Method comparison studies

KW - Pivotal quantity

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

Abstract

Keywords

ASJC Scopus subject areas

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