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Multiple imputation for non-monotone missing not at random data using the no self-censoring model.

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Title: Multiple imputation for non-monotone missing not at random data using the no self-censoring model.
Authors: Ren, Boyu1,2 (AUTHOR) bren@partners.org, Lipsitz, Stuart R3,4 (AUTHOR), Weiss, Roger D2,5 (AUTHOR), Fitzmaurice, Garrett M1,2 (AUTHOR)
Source: Statistical Methods in Medical Research. Oct2023, Vol. 32 Issue 10, p1973-1993. 21p.
Database: Mathematics Source
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An: 172912758
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  Data: Multiple imputation for non-monotone missing not at random data using the no self-censoring model.
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  Data: <searchLink fieldCode="JN" term="%22Statistical+Methods+in+Medical+Research%22">Statistical Methods in Medical Research</searchLink>. Oct2023, Vol. 32 Issue 10, p1973-1993. 21p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1177/09622802231188520
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 21
        StartPage: 1973
    Titles:
      – TitleFull: Multiple imputation for non-monotone missing not at random data using the no self-censoring model.
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            NameFull: Ren, Boyu
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            NameFull: Lipsitz, Stuart R
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            NameFull: Weiss, Roger D
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              Text: Oct2023
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              Y: 2023
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              Value: 32
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              Value: 10
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            – TitleFull: Statistical Methods in Medical Research
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