Evaluating agreement with a gold standard in method comparison studies

Roy T. St. Laurent

doi:10.2307/3109761

Evaluating agreement with a gold standard in method comparison studies

Roy T. St. Laurent

Mathematics and Statistics

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

56 Scopus citations

Abstract

We develop a statistical model for method comparison studies where a gold standard is present and propose a measure of agreement. This measure can be interpreted as a population correlation coefficient in a constrained bivariate model. An estimator of this coefficient is proposed and its statistical properties explored. Applications of the new methodology to data from the medical literature are presented.

Original language	English (US)
Pages (from-to)	537-545
Number of pages	9
Journal	Biometrics
Volume	54
Issue number	2
DOIs	https://doi.org/10.2307/3109761
State	Published - Jun 1998

Keywords

Agreement
Correlation
Gold standard
Intraclass correlation coefficient
Method comparison study
Random effects model

ASJC Scopus subject areas

Statistics and Probability
General Biochemistry, Genetics and Molecular Biology
General Immunology and Microbiology
General Agricultural and Biological Sciences
Applied Mathematics

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10.2307/3109761

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title = "Evaluating agreement with a gold standard in method comparison studies",

abstract = "We develop a statistical model for method comparison studies where a gold standard is present and propose a measure of agreement. This measure can be interpreted as a population correlation coefficient in a constrained bivariate model. An estimator of this coefficient is proposed and its statistical properties explored. Applications of the new methodology to data from the medical literature are presented.",

keywords = "Agreement, Correlation, Gold standard, Intraclass correlation coefficient, Method comparison study, Random effects model",

author = "{St. Laurent}, {Roy T.}",

year = "1998",

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AB - We develop a statistical model for method comparison studies where a gold standard is present and propose a measure of agreement. This measure can be interpreted as a population correlation coefficient in a constrained bivariate model. An estimator of this coefficient is proposed and its statistical properties explored. Applications of the new methodology to data from the medical literature are presented.

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KW - Gold standard

KW - Intraclass correlation coefficient

KW - Method comparison study

KW - Random effects model

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JF - Biometrics

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Evaluating agreement with a gold standard in method comparison studies

Abstract

Keywords

ASJC Scopus subject areas

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