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- Title
Statistical analysis of correlated data using generalized estimating equations: an orientation.
- Authors
Hanley, James A; Negassa, Abdissa; Edwardes, Michael D deB; Forrester, Janet E
- Abstract
The method of generalized estimating equations (GEE) is often used to analyze longitudinal and other correlated response data, particularly if responses are binary. However, few descriptions of the method are accessible to epidemiologists. In this paper, the authors use small worked examples and one real data set, involving both binary and quantitative response data, to help end-users appreciate the essence of the method. The examples are simple enough to see the behind-the-scenes calculations and the essential role of weighted observations, and they allow nonstatisticians to imagine the calculations involved when the GEE method is applied to more complex multivariate data.
- Publication
American journal of epidemiology, 2003, Vol 157, Issue 4, p364
- ISSN
0002-9262
- Publication type
Journal Article
- DOI
10.1093/aje/kwf215