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Optimal rerandomization designs via a criterion that provides insurance against failed experiments.

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Title: Optimal rerandomization designs via a criterion that provides insurance against failed experiments.
Authors: Kapelner, Adam1, kapelner@qc.cuny.edu, Krieger, Abba M.2, Sklar, Michael3, Azriel, David4
Source: Journal of Statistical Planning & Inference; Jul2022, Vol. 219, p63-84, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 155149694
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Optimal rerandomization designs via a criterion that provides insurance against failed experiments.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=155149694
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.jspi.2021.11.005
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 22
        StartPage: 63
    Titles:
      – TitleFull: Optimal rerandomization designs via a criterion that provides insurance against failed experiments.
        Type: main
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            NameFull: Kapelner, Adam
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            NameFull: Krieger, Abba M.
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            NameFull: Sklar, Michael
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            NameFull: Azriel, David
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            – D: 01
              M: 07
              Text: Jul2022
              Type: published
              Y: 2022
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              Value: 219
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            – TitleFull: Journal of Statistical Planning & Inference
              Type: main
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