A personalized prediction of longitudinal growth using People-Like-Me methods.
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| Title: | A personalized prediction of longitudinal growth using People-Like-Me methods. |
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| Authors: | Jin X; Department of Biostatistics and Informatics, Colorado School of Public Health, CO, United States., Juarez-Colunga E; Department of Biostatistics and Informatics, Colorado School of Public Health, CO, United States; VA Eastern Colorado Geriatric Research, Education, and Clinical Center (GRECC), VA Eastern Colorado Health Care System, CO, United States. Electronic address: elizabeth.juarez-colunga@cuanschutz.edu., Buuren SV; Department of Methodology and Statistics, Utrecht University, The Netherlands., Colborn K; School of Medicine, University of Colorado, CO, United States., Rosenfeld M; Department of Pediatrics, Seattle Children's Hospital in University of Washington, WA, United States., Graber J; Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, CO, United States; Department of Physical Medicine and Rehabilitation, University of Colorado, CO, United States., Stevens-Lapsley J; Department of Physical Medicine and Rehabilitation, University of Colorado, CO, United States; VA Eastern Colorado Geriatric Research, Education, and Clinical Center (GRECC), VA Eastern Colorado Health Care System, CO, United States. |
| Source: | Computers in biology and medicine [Comput Biol Med] 2025 Dec; Vol. 199, pp. 111281. Date of Electronic Publication: 2025 Nov 13. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41232372 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A personalized prediction of longitudinal growth using People-Like-Me methods. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Jin+X%22">Jin X</searchLink>; Department of Biostatistics and Informatics, Colorado School of Public Health, CO, United States.<br /><searchLink fieldCode="AU" term="%22Juarez-Colunga+E%22">Juarez-Colunga E</searchLink>; Department of Biostatistics and Informatics, Colorado School of Public Health, CO, United States; VA Eastern Colorado Geriatric Research, Education, and Clinical Center (GRECC), VA Eastern Colorado Health Care System, CO, United States. Electronic address: elizabeth.juarez-colunga@cuanschutz.edu.<br /><searchLink fieldCode="AU" term="%22Buuren+SV%22">Buuren SV</searchLink>; Department of Methodology and Statistics, Utrecht University, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Colborn+K%22">Colborn K</searchLink>; School of Medicine, University of Colorado, CO, United States.<br /><searchLink fieldCode="AU" term="%22Rosenfeld+M%22">Rosenfeld M</searchLink>; Department of Pediatrics, Seattle Children's Hospital in University of Washington, WA, United States.<br /><searchLink fieldCode="AU" term="%22Graber+J%22">Graber J</searchLink>; Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, CO, United States; Department of Physical Medicine and Rehabilitation, University of Colorado, CO, United States.<br /><searchLink fieldCode="AU" term="%22Stevens-Lapsley+J%22">Stevens-Lapsley J</searchLink>; Department of Physical Medicine and Rehabilitation, University of Colorado, CO, United States; VA Eastern Colorado Geriatric Research, Education, and Clinical Center (GRECC), VA Eastern Colorado Health Care System, CO, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%221250250%22">Computers in biology and medicine</searchLink> [Comput Biol Med] 2025 Dec; Vol. 199, pp. 111281. <i>Date of Electronic Publication: </i>2025 Nov 13. – 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="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>1250250 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0534 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200104825%22">00104825 </searchLink><i>NLM ISO Abbreviation: </i>Comput Biol Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41232372 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.compbiomed.2025.111281 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 111281 Titles: – TitleFull: A personalized prediction of longitudinal growth using People-Like-Me methods. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jin X – PersonEntity: Name: NameFull: Juarez-Colunga E – PersonEntity: Name: NameFull: Buuren SV – PersonEntity: Name: NameFull: Colborn K – PersonEntity: Name: NameFull: Rosenfeld M – PersonEntity: Name: NameFull: Graber J – PersonEntity: Name: NameFull: Stevens-Lapsley J IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2025 Dec Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1879-0534 Numbering: – Type: volume Value: 199 Titles: – TitleFull: Computers in biology and medicine Type: main |
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