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.
| Original language | English |
|---|---|
| Pages (from-to) | 63-72 |
| Number of pages | 10 |
| Journal | Survey Methodology |
| Volume | 38 |
| Issue number | 1 |
| State | Published - Jun 2012 |
Keywords
- Clustering
- Concordance correlation coefficient
- Generalized estimating equations
- Jackknife estimator
- Kappa coefficient
- Sample weighting
- Stratification
- Taylor series linearization
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