The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
Activity Number:
|
422
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Section on Survey Research Methods
|
Abstract - #304493 |
Title:
|
Estimating Agreement Coefficients from Sample Survey Data
|
Author(s):
|
Hung-Mo Lin*+ and Hae-Young Kim and John M Williamson and Virginia Lesser
|
Companies:
|
Mount Sinai School of Medicine and New England Research Institute and CDC/Kenya Medical Research Institute and Oregon State University
|
Address:
|
, New York, NY, 10029, United States
|
Keywords:
|
Kappa coefficient ;
Concordance correlation coefficient ;
Generalized estimating equations ;
Jackknife estimator ;
Taylor series linearization
|
Abstract:
|
We present a generalized estimating equations approach for estimating the concordance correlation coefficient and the kappa coefficient from sample survey data. In order to correctly account for the sampling design, the estimates and their accompanying standard error need to incorporate these features. 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.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.