Arbeitspapier
Synthetic Graphical Modelling of Binary Panel Data Subject to Non-response A Case Study
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.
- Language
-
Englisch
- Bibliographic citation
-
Series: Discussion Papers ; No. 220
- Classification
-
Wirtschaft
- Subject
-
Panel design
non-response
graphical model
GLM
- Event
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Geistige Schöpfung
- (who)
-
Zhang, Li-Chun
- Event
-
Veröffentlichung
- (who)
-
Statistics Norway, Research Department
- (where)
-
Oslo
- (when)
-
1998
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Zhang, Li-Chun
- Statistics Norway, Research Department
Time of origin
- 1998
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Antworten auf Nonresponse
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A method of weighting adjustment for survey data subject to nonignorable nonresponse
A method of weighting adjustment for survey data subject to nonignorable nonresponse
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Randomized trials, generalizability, and meta-analysis: Graphical insights for binary outcomes
Woollins’ Reagent: A Graphical Review of Its Main Synthetic Uses
Synthetic Organic Chemistry of α-Imino Ketones: A Graphical Review
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