Abstract:
:Correlated response data arise often in biomedical studies. The generalized estimation equation (GEE) approach is widely used in regression analysis for such data. However, there are few methods available to check the adequacy of regression models in GEE. In this paper, a graphical method is proposed based on Cook and Weisberg's marginal model plot. A bootstrap method is applied to obtain the reference band to assess statistical uncertainties in comparing two marginal mean functions. We also propose using the generalized additive model (GAM) in a similar fashion. The proposed two methods are easy to implement by taking advantage of existing smoothing and GAM softwares for independent data. The usefulness of the methodology is demonstrated through application to a correlated binary data set drawn from a clinical trial, the Lung Health Study.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Pan W,Connett JE,Porzio GC,Weisberg Sdoi
10.1002/sim.889subject
Has Abstractpub_date
2001-10-15 00:00:00pages
2935-49issue
19eissn
0277-6715issn
1097-0258pii
10.1002/sim.889journal_volume
20pub_type
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