Data Analysis Papers

Repeated Measures Analysis wtih Discrete Data Using the SAS System
Gordon Johnston and Maura Stokes, SUGI Proceedings, 1996


The analysis of correlated data arising from repeated measurements when the measurements are assumed to be multivariate normal has been studied exten-sively. In many practical problems, however, the normality assumption is not reasonable. When the responses are discrete and correlated, for example, different methodology must be used in the analysis of the data. Generalized Estimating Equations (GEEs) provide a practical method with reasonable statistical efficiency to analyze such data. This paper provides an overview of the use of GEEs in the analysis of correlated data using the SAS System. Emphasis is placed on discrete correlated data, since this is an area of great practical interest.