A blended estimator for a measure of agreement with a gold standard |
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Authors: | Ian R. Harris Brent D. Burch Roy T. St. Laurent |
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Affiliation: | (1) Department of Preventive and Societal Medicine, University of Nebraska, 984350 Nebraska Medical Center, 68198-4350 Omaha, NE, USA;(2) Department of Epidemiology and Public Health, Yale University School of Medicine, 60 College Street, 06520-8034 New Haven, CT, USA |
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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. |
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