Modeling the agreement of discrete bivariate survival times using kappa coefficient.
Using local kappa coefficients, we develop a method to assess the agreement between two discrete survival times that are measured on the same subject by different raters or methods. We model the marginal distributions for the two event times and local kappa coefficients in terms of covariates. An estimating equation is used for modeling the marginal distributions and a pseudo-likelihood procedure is used to estimate the parameters in the kappa model. The performance of the estimation procedure is examined through simulations. The proposed method can be extended to multivariate discrete survival distributions.
Guo
Ying
Y
Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA. yguo2@sph.emory.edu
Manatunga
Amita K
AK
D015233:Models, Statistical; D018709:Statistics, Nonparametric; D016019:Survival Analysis