The effect of high prevalence of missing data on estimation of the coefficients of a logistic regression model when using multiple imputation
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2288
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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The effect of high prevalence of missing data on estimation of the coefficients of a logistic regression model when using multiple imputation ; volume:22 ; number:1 ; day:18 ; month:7 ; year:2022 ; pages:1-14 ; date:12.2022
BMC medical research methodology ; 22, Heft 1 (18.7.2022), 1-14, 12.2022
- Creator
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Austin, Peter C.
Buuren, Stef van
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12874-022-01671-0
- URN
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urn:nbn:de:101:1-2022092723141352401026
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:37 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Austin, Peter C.
- Buuren, Stef van
- SpringerLink (Online service)
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