Graphical model checking with correlated response data.
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.
Pan
W
W
Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, Box 303, 420 Delaware Street SE, Minneapolis, MN 55455-0378, USA. weip@biostat.umn.edu
Connett
J E
JE
Porzio
G C
GC
Weisberg
S
S
D000328:Adult; D001521:Behavior Therapy / Q000379:methods; D018680:Cholinergic Antagonists / Q000008:administration & dosage; D003198:Computer Simulation; D003626:Data Display; D006801:Humans; D009241:Ipratropium / Q000008:administration & dosage; D008875:Middle Aged; D015233:Models, Statistical; D015337:Multicenter Studies as Topic; D016032:Randomized Controlled Trials as Topic; D012044:Regression Analysis; D015203:Reproducibility of Results; D016540:Smoking Cessation / Q000379:methods
D018680:Cholinergic Antagonists; D009241:Ipratropium