Alternative approaches to the analysis of binary and categorical repeated measurements
J Biopharm Stat, 2 (2):
137-170 (1992)DOI: 10.1080/10543409208835036
Abstract
The purpose of this paper is to describe, illustrate, and compare a number of different approaches to the analysis of repeated binary and categorical data. These approaches include empirical generalized least squares and generalized estimating equations, as well as traditional log-linear modeling methods. It is shown that the interpretation of the parameters in the various models depends critically on the type of model fitted. In particular, we contrast the population-averaged and subject-specific models. Two example data sets are used to illustrate the approaches, and throughout we concentrate on methods that can be easily implemented.
Description
Alternative approaches to the analysis of binary and categorical repeated measurements. - PubMed - NCBI