Jointly modeling multiple endpoints for efficient treatment effect estimation in randomized controlled trials.
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| Title: | Jointly modeling multiple endpoints for efficient treatment effect estimation in randomized controlled trials. |
|---|---|
| Authors: | Wolf JM; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, United States.; Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States., Koopmeiners JS; Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States., Vock DM; Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States. |
| Source: | Biometrics [Biometrics] 2026 Jan 06; Vol. 82 (1). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 0370625 Publication Model: Print Cited Medium: Internet ISSN: 1541-0420 (Electronic) Linking ISSN: 0006341X NLM ISO Abbreviation: Biometrics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41502390 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Jointly modeling multiple endpoints for efficient treatment effect estimation in randomized controlled trials. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wolf+JM%22">Wolf JM</searchLink>; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, United States.; Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States.<br /><searchLink fieldCode="AU" term="%22Koopmeiners+JS%22">Koopmeiners JS</searchLink>; Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States.<br /><searchLink fieldCode="AU" term="%22Vock+DM%22">Vock DM</searchLink>; Division of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220370625%22">Biometrics</searchLink> [Biometrics] 2026 Jan 06; Vol. 82 (1). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – 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>England <i>NLM ID: </i>0370625 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1541-0420 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220006341X%22">0006341X </searchLink><i>NLM ISO Abbreviation: </i>Biometrics <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41502390 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/biomtc/ujaf166 Languages: – Code: eng Text: English Titles: – TitleFull: Jointly modeling multiple endpoints for efficient treatment effect estimation in randomized controlled trials. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wolf JM – PersonEntity: Name: NameFull: Koopmeiners JS – PersonEntity: Name: NameFull: Vock DM IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 01 Text: 2026 Jan 06 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1541-0420 Numbering: – Type: volume Value: 82 – Type: issue Value: 1 Titles: – TitleFull: Biometrics Type: main |
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