A gee regression model for the association between an ordinal and a nominal variable
A model is proposed for analyzing the association between a nominal response variable and an ordered categorical response variable, as well as modeling the responses themselves. For parameter estimation, a generalized estimating equation approach Is employed utilizing two sets of estimating equations, The first set of estimating equations models the marginal distribution for each variable, The second set of estimating equations models the joint distribution of the two variables using local-global association. Covariate effects may be incorporated into the modeling of association, Simulation results demonstrate the usefulness of the proposed method, An application of the proposed model Is illustrated using data from the Established Populations for Epidemiologic Studies of the Elderly Project.