An overview of methods for the analysis of longitudinal data
Article first published online: 22 JAN 2007
Copyright © 1992 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 11, Issue 14-15, pages 1825–1839, 1992
How to Cite
Zeger, S. L. and Liang, K.-Y. (1992), An overview of methods for the analysis of longitudinal data. Statist. Med., 11: 1825–1839. doi: 10.1002/sim.4780111406
- Issue published online: 22 JAN 2007
- Article first published online: 22 JAN 2007
This paper reviews statistical methods for the analysis of discrete and continuous longitudinal data. The relative merits of longitudinal and cross-sectional studies are discussed. Three approaches, marginal, transition and random effects models, are presented with emphasis on the distinct interpretations of their coefficients in the discrete data case. We review generalized estimating equations for inferences about marginal models. The ideas are illustrated with analyses of a 2 × 2 crossover trial with binary responses and a randomized longitudinal study with a count outcome.