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Estimating agreement coefficients from sample survey data

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https://ir.library.oregonstate.edu/concern/articles/pc289j84n

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  • We present a generalized estimating equations approach for estimating the concordance correlation coefficient and the kappa coefficient from sample survey data. The estimates and their accompanying standard error need to correctly account for the sampling design. Weighted measures of the concordance correlation coefficient and the kappa coefficient, along with the variance of these measures accounting for the sampling design, are presented. We use the Taylor series linearization method and the jackknife procedure for estimating the standard errors of the resulting parameter estimates. Body measurement and oral health data from the Third National Health and Nutrition Examination Survey are used to illustrate this methodology.
  • Keywords: Generalized estimating equations, Sample weighting, Concordance correlation coefficient, Stratification, Taylor series linearization, Kappa coefficient, Jackknife estimator, Clustering
  • Keywords: Generalized estimating equations, Sample weighting, Concordance correlation coefficient, Stratification, Taylor series linearization, Kappa coefficient, Jackknife estimator, Clustering
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  • Lin, H., Kim, H., Williamson, J., & Lesser, V. (2012). Estimating agreement coefficients from sample survey data. Survey Methodology, 38(1), 63-72.
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  • 38
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  • 1
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file details LesserVirginiaStatisticsEstimatingAgreementCoefficients.pdf 2017-07-13 Público Descargar