title: Modeling kappa for measuring dependent categorical agreement data.
abstract: A method for analysing dependent agreement data with categorical responses is proposed. A generalized estimating equation approach is developed with two sets of equations. The first set models the marginal distribution of categorical ratings, and the second set models the pairwise association of ratings with the kappa coefficient (kappa) as a metric. Covariates can be incorporated into both sets of equations. This approach is compared with a latent variable model that assumes an underlying multivariate normal distribution in which the intraclass correlation coefficient is used as a measure of association. Examples are from a cervical ectopy study and the National Heart, Lung, and Blood Institute Veteran Twin Study.
authors.affiliation: Division of HIV/AIDS Prevention-Surveillance and Epidemiology (MS E-48), National Centers for HIV, STD, and TB Prevention, Centers for Disease Control and Prevention, 1600 Clifton Rd., NE, Atlanta, GA 30333, USA. jow5@cdc.gov
authors.forename: J M
authors.initials: JM
authors.lastname: Williamson
authors.forename: S R
authors.initials: SR
authors.lastname: Lipsitz
authors.forename: A K
authors.initials: AK
authors.lastname: Manatunga