Applying machine learning-based multiple imputation methods to nonparametric multiple comparisons in longitudinal clinical studies.
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| Title: | Applying machine learning-based multiple imputation methods to nonparametric multiple comparisons in longitudinal clinical studies. |
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| Authors: | Yanarateş T; Department of Biostatistics, School of Medicine, Hacettepe University, Ankara, Turkey., Karabulut E; Department of Biostatistics, School of Medicine, Hacettepe University, Ankara, Turkey. |
| Source: | Journal of biopharmaceutical statistics [J Biopharm Stat] 2026 May; Vol. 36 (3), pp. 549-560. Date of Electronic Publication: 2024 Dec 21. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: England NLM ID: 9200436 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5711 (Electronic) Linking ISSN: 10543406 NLM ISO Abbreviation: J Biopharm Stat Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39707925 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Applying machine learning-based multiple imputation methods to nonparametric multiple comparisons in longitudinal clinical studies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yanarateş+T%22">Yanarateş T</searchLink>; Department of Biostatistics, School of Medicine, Hacettepe University, Ankara, Turkey.<br /><searchLink fieldCode="AU" term="%22Karabulut+E%22">Karabulut E</searchLink>; Department of Biostatistics, School of Medicine, Hacettepe University, Ankara, Turkey. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229200436%22">Journal of biopharmaceutical statistics</searchLink> [J Biopharm Stat] 2026 May; Vol. 36 (3), pp. 549-560. <i>Date of Electronic Publication: </i>2024 Dec 21. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Taylor+%26+Francis%22">Taylor & Francis </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9200436 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1520-5711 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210543406%22">10543406 </searchLink><i>NLM ISO Abbreviation: </i>J Biopharm Stat <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39707925 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10543406.2024.2444243 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 549 Titles: – TitleFull: Applying machine learning-based multiple imputation methods to nonparametric multiple comparisons in longitudinal clinical studies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yanarateş T – PersonEntity: Name: NameFull: Karabulut E IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 May Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1520-5711 Numbering: – Type: volume Value: 36 – Type: issue Value: 3 Titles: – TitleFull: Journal of biopharmaceutical statistics Type: main |
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