Applying binary mixed model to predict knee osteoarthritis pain.
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| Title: | Applying binary mixed model to predict knee osteoarthritis pain. |
|---|---|
| Authors: | El-Zaatari, Helal1 (AUTHOR), Arbeeva, Liubov1 (AUTHOR), Nelson, Amanda E.1 (AUTHOR) helalelzaatari@gmail.com |
| Source: | PLoS ONE. 7/15/2025, Vol. 20 Issue 7, p1-11. 11p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 186645980 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Applying binary mixed model to predict knee osteoarthritis pain. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22El-Zaatari%2C+Helal%22">El-Zaatari, Helal</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arbeeva%2C+Liubov%22">Arbeeva, Liubov</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nelson%2C+Amanda+E%2E%22">Nelson, Amanda E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> helalelzaatari@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 7/15/2025, Vol. 20 Issue 7, p1-11. 11p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186645980 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0325678 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Titles: – TitleFull: Applying binary mixed model to predict knee osteoarthritis pain. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: El-Zaatari, Helal – PersonEntity: Name: NameFull: Arbeeva, Liubov – PersonEntity: Name: NameFull: Nelson, Amanda E. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 07 Text: 7/15/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 20 – Type: issue Value: 7 Titles: – TitleFull: PLoS ONE Type: main |
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