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Am J Epidemiol 2003; 158:289.
Copyright © 2003 by Johns Hopkins Bloomberg School of Public Health

LETTERS TO THE EDITOR

RE: "STATISTICAL ANALYSIS OF CORRELATED DATA USING GENERALIZED ESTIMATING EQUATIONS: AN ORIENTATION"

Guangyong Zou

Robarts Clinical Trials, Robarts Research Institute, London, Ontario N6A 5K8, Canada

Hanley et al. (1) recently provided an excellent explanation of the generalized estimating equations approach to a wider audience. There is no doubt that their article will make this approach even more popular in epidemiologic research. However, the comment on page 374 about the availability of alternative logistic regression in common statistical software is not strictly true. For example, SAS version 8.0 PROC GENMOD can easily be used to fit this model. A clear demonstration can be found on page 1455 of the SAS manual (2).

REFERENCES

  1. Hanley JA, Negassa A, deB Edwardes MD, et al. Statistical analysis of correlated data using generalized estimating equations: an orientation. Am J Epidemiol 2003;157:364–75.[Abstract/Free Full Text]
  2. SAS Institute, Inc. SAS/STAT user’s guide, version 8. Cary, NC: SAS Institute Inc, 1999.

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This Article
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