Article
 

Estimating agreement coefficients from sample survey data

Öffentlich Deposited

Herunterladbarer Inhalt

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

Descriptions

Attribute NameValues
Creator
Abstract
  • 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
Resource Type
Date Available
Date Issued
Citation
  • Lin, H., Kim, H., Williamson, J., & Lesser, V. (2012). Estimating agreement coefficients from sample survey data. Survey Methodology, 38(1), 63-72.
Journal Title
Journal Volume
  • 38
Journal Issue/Number
  • 1
Academic Affiliation
Urheberrechts-Erklärung
Publisher
Peer Reviewed
Language
Replaces

Beziehungen

Parents:

This work has no parents.

Artikel

Miniaturansicht Titel Hochladedatum Sichtbarkeit Aktionen
file details LesserVirginiaStatisticsEstimatingAgreementCoefficients.pdf 2017-07-13 Öffentlich Herunterladen