Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population.

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Title: Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population.
Authors: Qian, Qi1, Nguyen, Danh V2, Telesca, Donatello1, Kurum, Esra3, Rhee, Connie M2,4, Banerjee, Sudipto1, Li, Yihao1, Senturk, Damla1, dsenturk@ucla.edu
Source: Biostatistics; Jul2024, Vol. 25 Issue 3, p718-735, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178439450
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population.
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  Data: <searchLink fieldCode="JN" term="%22Biostatistics%22">Biostatistics</searchLink>; Jul2024, Vol. 25 Issue 3, p718-735, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178439450
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/biostatistics/kxad013
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 18
        StartPage: 718
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      – TitleFull: Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population.
        Type: main
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          Name:
            NameFull: Qian, Qi
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            NameFull: Nguyen, Danh V
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            NameFull: Telesca, Donatello
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            NameFull: Kurum, Esra
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            NameFull: Rhee, Connie M
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            NameFull: Banerjee, Sudipto
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            NameFull: Li, Yihao
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            NameFull: Senturk, Damla
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          Dates:
            – D: 01
              M: 07
              Text: Jul2024
              Type: published
              Y: 2024
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            – TitleFull: Biostatistics
              Type: main
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