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Residuals analysis of the generalized linear models for longitudinal data

✍ Scribed by Yue-Cune Chang

Publisher: John Wiley and Sons
Year: 2000
Tongue: English
Weight: 196 KB
Volume: 19
Category: Article
ISSN: 0277-6715
DOI: 10.1002/(sici)1097-0258(20000530)19:10<1277::aid-sim494>3.0.co;2-s

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✦ Synopsis

The generalized estimation equation (GEE) method, one of the generalized linear models for longitudinal data, has been used widely in medical research. However, the related sensitivity analysis problem has not been explored intensively. One of the possible reasons for this was due to the correlated structure within the same subject. We showed that the conventional residuals plots for model diagnosis in longitudinal data could mislead a researcher into trusting the ÿtted model. A non-parametric method, named the Wald-Wolfowitz run test, was proposed to check the residuals plots both quantitatively and graphically. The rationale proposed in this paper is well illustrated with two real clinical studies in Taiwan.

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