Multiple imputation using auxiliary imputation variables that only predict missingness can increase bias due to data missing not at random
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Multiple imputation using auxiliary imputation variables that only predict missingness can increase bias due to data missing not at random ; volume:24 ; number:1 ; day:7 ; month:10 ; year:2024 ; pages:1-15 ; date:12.2024
BMC medical research methodology ; 24, Heft 1 (7.10.2024), 1-15, 12.2024
- Creator
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Curnow, Elinor
Cornish, Rosie P.
Heron, Jon E.
Carpenter, James R.
Tilling, Kate
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12874-024-02353-9
- URN
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urn:nbn:de:101:1-2412242105262.886607134641
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:30 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Curnow, Elinor
- Cornish, Rosie P.
- Heron, Jon E.
- Carpenter, James R.
- Tilling, Kate
- SpringerLink (Online service)
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