Using directed acyclic graphs to determine whether multiple imputation or subsample-multiple imputation estimates of an exposure-outcome association are unbiased.
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| Title: | Using directed acyclic graphs to determine whether multiple imputation or subsample-multiple imputation estimates of an exposure-outcome association are unbiased. |
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| Authors: | Madley-Dowd P; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.; NIHR Biomedical Research Centre, University of Bristol, Bristol, United Kingdom.; Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom., Hughes RA; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom., Mathur MB; Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, United States., Heron J; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.; Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom., Tilling K; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom. |
| Source: | American journal of epidemiology [Am J Epidemiol] 2026 Feb 05; Vol. 195 (2), pp. 505-514. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41288128 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using directed acyclic graphs to determine whether multiple imputation or subsample-multiple imputation estimates of an exposure-outcome association are unbiased. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Madley-Dowd+P%22">Madley-Dowd P</searchLink>; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.; NIHR Biomedical Research Centre, University of Bristol, Bristol, United Kingdom.; Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Hughes+RA%22">Hughes RA</searchLink>; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Mathur+MB%22">Mathur MB</searchLink>; Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, United States.<br /><searchLink fieldCode="AU" term="%22Heron+J%22">Heron J</searchLink>; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.; Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Tilling+K%22">Tilling K</searchLink>; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227910653%22">American journal of epidemiology</searchLink> [Am J Epidemiol] 2026 Feb 05; Vol. 195 (2), pp. 505-514. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7910653 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-6256 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200029262%22">00029262 </searchLink><i>NLM ISO Abbreviation: </i>Am J Epidemiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41288128 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/aje/kwaf265 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 505 Titles: – TitleFull: Using directed acyclic graphs to determine whether multiple imputation or subsample-multiple imputation estimates of an exposure-outcome association are unbiased. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Madley-Dowd P – PersonEntity: Name: NameFull: Hughes RA – PersonEntity: Name: NameFull: Mathur MB – PersonEntity: Name: NameFull: Heron J – PersonEntity: Name: NameFull: Tilling K IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 02 Text: 2026 Feb 05 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1476-6256 Numbering: – Type: volume Value: 195 – Type: issue Value: 2 Titles: – TitleFull: American journal of epidemiology Type: main |
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