Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
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Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey ; volume:23 ; number:1 ; day:25 ; month:3 ; year:2023 ; pages:1-15 ; date:12.2023
BMC medical research methodology ; 23, Heft 1 (25.3.2023), 1-15, 12.2023
- Creator
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Pelgrims, Ingrid
Devleesschauwer, Brecht
Vandevijvere, Stefanie
De Clercq, Eva M.
Vansteelandt, Stijn
Gorasso, Vanessa
Heyden, Johan Van der
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12874-023-01892-x
- URN
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urn:nbn:de:101:1-2023081310452709314460
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:00 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Pelgrims, Ingrid
- Devleesschauwer, Brecht
- Vandevijvere, Stefanie
- De Clercq, Eva M.
- Vansteelandt, Stijn
- Gorasso, Vanessa
- Heyden, Johan Van der
- SpringerLink (Online service)
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