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Estimating agreement coefficients from sample survey data Public Deposited

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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.
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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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  • description.provenance : Approved for entry into archive by Deanne Bruner(deanne.bruner@oregonstate.edu) on 2013-04-18T23:47:28Z (GMT) No. of bitstreams: 1 LesserVirginiaStatisticsEstimatingAgreementCoefficients.pdf: 110827 bytes, checksum: b2e7520a99ee47dfdb37cc695639201c (MD5)
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  • description.provenance : Submitted by Deanne Bruner (deanne.bruner@oregonstate.edu) on 2013-04-18T23:07:11Z No. of bitstreams: 1 LesserVirginiaStatisticsEstimatingAgreementCoefficients.pdf: 110827 bytes, checksum: b2e7520a99ee47dfdb37cc695639201c (MD5)

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