Prognostic adjustment with efficient estimators to unbiasedly leverage historical data in randomized trials.

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Title: Prognostic adjustment with efficient estimators to unbiasedly leverage historical data in randomized trials.
Authors: Liao, Lauren D.1 (AUTHOR) Liaoldliao@berkeley.edu, Højbjerre-Frandsen, Emilie2,3 (AUTHOR), Hubbard, Alan E.4 (AUTHOR), Schuler, Alejandro4 (AUTHOR) alejandro.schuler@berkeley.edu
Source: International Journal of Biostatistics. May2025, Vol. 21 Issue 1, p1-15. 15p.
Database: Mathematics Source
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  Data: Prognostic adjustment with efficient estimators to unbiasedly leverage historical data in randomized trials.
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  Data: <searchLink fieldCode="AR" term="%22Liao%2C+Lauren+D%2E%22">Liao, Lauren D.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Liaoldliao@berkeley.edu</i><br /><searchLink fieldCode="AR" term="%22Højbjerre-Frandsen%2C+Emilie%22">Højbjerre-Frandsen, Emilie</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hubbard%2C+Alan+E%2E%22">Hubbard, Alan E.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schuler%2C+Alejandro%22">Schuler, Alejandro</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> alejandro.schuler@berkeley.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Biostatistics%22">International Journal of Biostatistics</searchLink>. May2025, Vol. 21 Issue 1, p1-15. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=186592594
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1515/ijb-2024-0018
    Languages:
      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1
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      – TitleFull: Prognostic adjustment with efficient estimators to unbiasedly leverage historical data in randomized trials.
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            NameFull: Liao, Lauren D.
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            NameFull: Højbjerre-Frandsen, Emilie
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            NameFull: Hubbard, Alan E.
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            – D: 01
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              Text: May2025
              Type: published
              Y: 2025
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              Value: 21
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