Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/192204 
Authors: 
Year of Publication: 
1998
Series/Report no.: 
Discussion Papers No. 220
Publisher: 
Statistics Norway, Research Department, Oslo
Abstract: 
The present paper applies synthetic graphical modelling to the binary panel data of the Muscatine Coronary Risk Factor Study, where the observations are subject to non-response. The methodology combines the techniques of the graphical and generalized linear models. The purpose is to demonstrate the various aspects of the modelling approach than to obtain accurate empirical knowledge on the matter dealt with. We emphasize the flexibility, interpretation, and sensitivity (or robustness) of the models proposed.
Subjects: 
Panel design
non-response
graphical model
GLM
Document Type: 
Working Paper
Document Version: 
Digitized Version

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