Evaluating Agreement with a Gold Standard in Method Comparison Studies

Roy T. St. Laurent

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Reliability and Agreement in Measurement Meta-analysis and systematic reviews Statistical Methods in Epidemiology

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.

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References

1989A Concordance Correlation Coefficient to Evaluate Reproducibility 1983Measurement in Medicine: The Analysis of Method Comparison Studies 1986A Review of Inference Procedures for the Intraclass Correlation Coefficient in the One-Way Random Effects Model 1996A Weighted Concordance Correlation Coefficient for Repeated Measurement Designs

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2009An Application of Linear Mixed Effects Model to Assess the Agreement Between Two Methods With Replicated Observations 2003A modified large‐sample approach to approximate interval estimation for a particular intraclass correlation coefficient 2005Measuring Agreement in Method Comparison Studies — A Review 2007Statistical techniques for assessing the agreement between two instruments 2006Nonparametric Estimation of the Concordance Correlation Coefficient under Univariate Censoring 2006Confidence intervals on intraclass correlation coefficients in a balanced two-factor random design 2005Assessment of Agreement Using Intersection-Union Principle 2010Bayesian and Frequentist Methodologies for Analyzing Method Comparison Studies With Multiple Methods

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