Graphical model checking with correlated response data.

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 Med

journal_title

Statistics in medicine

authors

Pan W,Connett JE,Porzio GC,Weisberg S

doi

10.1002/sim.889

subject

Has Abstract

pub_date

2001-10-15 00:00:00

pages

2935-49

issue

19

eissn

0277-6715

issn

1097-0258

pii

10.1002/sim.889

journal_volume

20

pub_type

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