GEE analysis of negatively correlated binary responses: a caution

Citation
Ja. Hanley et al., GEE analysis of negatively correlated binary responses: a caution, STAT MED, 19(5), 2000, pp. 715-722
Citations number
19
Categorie Soggetti
General & Internal Medicine","Medical Research General Topics
Journal title
STATISTICS IN MEDICINE
ISSN journal
02776715 → ACNP
Volume
19
Issue
5
Year of publication
2000
Pages
715 - 722
Database
ISI
SICI code
0277-6715(20000315)19:5<715:GAONCB>2.0.ZU;2-E
Abstract
The method of generalized estimating equations has become almost standard f or analysing longitudinal and other correlated response data. However, we h ave found that if binary responses have less than binomial variation over c lusters, and are modelled using exchangeable correlations, prevailing softw are implementations may give unreliable results. Bounding the negative corr elation away from its theoretical minimum may not always be a satisfactory solution. In such instances, using the independence working correlation str ucture and robust SEs is a more trustworthy alternative. Copyright (C) 2000 John Wiley & Sons, Ltd.