Functional principal component analysis for identifying the child growth pattern using longitudinal birth cohort data.
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| Title: | Functional principal component analysis for identifying the child growth pattern using longitudinal birth cohort data. |
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| Authors: | Karuppusami R; Department of Biostatistics, Christian Medical College, Vellore, 632002, India., Antonisamy B; Department of Biostatistics, Christian Medical College, Vellore, 632002, India. b.antonisamy@gmail.com., Premkumar PS; Department of Biostatistics, Christian Medical College, Vellore, 632002, India. |
| Source: | BMC medical research methodology [BMC Med Res Methodol] 2022 Mar 21; Vol. 22 (1), pp. 76. Date of Electronic Publication: 2022 Mar 21. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35313828 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Functional principal component analysis for identifying the child growth pattern using longitudinal birth cohort data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Karuppusami+R%22">Karuppusami R</searchLink>; Department of Biostatistics, Christian Medical College, Vellore, 632002, India.<br /><searchLink fieldCode="AU" term="%22Antonisamy+B%22">Antonisamy B</searchLink>; Department of Biostatistics, Christian Medical College, Vellore, 632002, India. b.antonisamy@gmail.com.<br /><searchLink fieldCode="AU" term="%22Premkumar+PS%22">Premkumar PS</searchLink>; Department of Biostatistics, Christian Medical College, Vellore, 632002, India. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100968545%22">BMC medical research methodology</searchLink> [BMC Med Res Methodol] 2022 Mar 21; Vol. 22 (1), pp. 76. <i>Date of Electronic Publication: </i>2022 Mar 21. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968545 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2288 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712288%22">14712288 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Res Methodol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35313828 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12874-022-01566-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 76 Titles: – TitleFull: Functional principal component analysis for identifying the child growth pattern using longitudinal birth cohort data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Karuppusami R – PersonEntity: Name: NameFull: Antonisamy B – PersonEntity: Name: NameFull: Premkumar PS IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 03 Text: 2022 Mar 21 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1471-2288 Numbering: – Type: volume Value: 22 – Type: issue Value: 1 Titles: – TitleFull: BMC medical research methodology Type: main |
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