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Population-average and subject-specific approaches for the analysis of misclassified correlated binary outcomes with internal validation.

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Title: Population-average and subject-specific approaches for the analysis of misclassified correlated binary outcomes with internal validation.
Authors: Lin, Hung-Mo1 (AUTHOR) hung-mo.lin@yale.edu, Tang, Li2 (AUTHOR), Lyles, Robert H.3 (AUTHOR), Williamson, John M.4 (AUTHOR)
Source: Journal of Applied Statistics. Nov2025, p1-17. 17p. 1 Illustration.
Database: Business Source Ultimate
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Header DbId: bsu
DbLabel: Business Source Ultimate
An: 189542513
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Population-average and subject-specific approaches for the analysis of misclassified correlated binary outcomes with internal validation.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Statistics%22">Journal of Applied Statistics</searchLink>. Nov2025, p1-17. 17p. 1 Illustration.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=189542513
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/02664763.2025.2593319
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1
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      – TitleFull: Population-average and subject-specific approaches for the analysis of misclassified correlated binary outcomes with internal validation.
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            NameFull: Lin, Hung-Mo
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            NameFull: Tang, Li
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            NameFull: Lyles, Robert H.
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            NameFull: Williamson, John M.
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            – D: 25
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
          Identifiers:
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              Value: 02664763
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            – TitleFull: Journal of Applied Statistics
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