GEECAT and GEEGOR: computer programs for the analysis of correlated categorical response data

GEECAT and GEEGOR are two user-friendly SAS macros for the analysis of clus tered, correlated categorical response data. Both programs implement method ology which extend the generalized estimating equation (GEE) approach of Li ang and Zeger (Biometrika 73 (1986) 13-22). GEECAT and GEEGOR both use a fi rst set of estimating equations to model the marginal response. With GEECAT , either correlated nominal or ordered categorical response data can be ana lyzed. The program GEEGOR employs a second set of estimating equations to m odel the association of ordered categorical responses within a cluster usin g the global odds ratio as a measure of association. The programs run on bo th mainframe computers and microcomputers. Examples are provided to illustr ate the features of both programs. (C) 1999 Elsevier Science Ireland Ltd. A ll rights reserved.