Abstract
St. Laurent (1998, Biometrics 54, 537-545) developed a measure of agreement for method comparison studies in which an approximate method of measurement is compared to a gold standard method of measurement. The measure of agreement proposed was shown to be related to a population intraclass correlation coefficient. This paper develops 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, this estimator outperforms the maximum likelihood estimator in terms of bias and mean-squared error.
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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Burch, Brent D.; Harris, Ian R.; and Laurent, Roy T. St.
(1999).
"AN IMPROVED ESTIMATOR FOR ASSESSING THE MEASURE OF AGREEMENT WITH A GOLD STANDARD,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1264
AN IMPROVED ESTIMATOR FOR ASSESSING THE MEASURE OF AGREEMENT WITH A GOLD STANDARD
St. Laurent (1998, Biometrics 54, 537-545) developed a measure of agreement for method comparison studies in which an approximate method of measurement is compared to a gold standard method of measurement. The measure of agreement proposed was shown to be related to a population intraclass correlation coefficient. This paper develops 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, this estimator outperforms the maximum likelihood estimator in terms of bias and mean-squared error.
