Discussion Papers no. 220
A case study
Synthetic graphical modelling of binary panel data subject to non-response
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.
Om publikasjonen
- Tittel
-
Synthetic graphical modelling of binary panel data subject to non-response. A case study
- Ansvarlig
-
Li-Chun Zhang
- Serie og -nummer
-
Discussion Papers no. 220
- Utgiver
-
Statistics Norway, Research Department
- Emne
-
Discussion Papers
- ISSN
-
1892-753X
- Antall sider
-
21
- Målform
-
Engelsk
- Om Discussion Papers
-
Discussion papers comprise research papers intended for international journals and books. A preprint of a Discussion Paper may be longer and more elaborate than a standard journal article as it may include intermediate calculations, background material etc.
Kontakt
-
SSBs informasjonstjeneste