Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data.

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Title: Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data.
Authors: Yadlowsky, Steve1 (AUTHOR) syadlows@stanford.edu, Pellegrini, Fabio2 (AUTHOR), Lionetto, Federica3 (AUTHOR), Braune, Stefan4 (AUTHOR), Tian, Lu5 (AUTHOR)
Source: Journal of the American Statistical Association. Mar2021, Vol. 116 Issue 533, p335-352. 18p.
Database: Mathematics Source
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Statistical+Association%22">Journal of the American Statistical Association</searchLink>. Mar2021, Vol. 116 Issue 533, p335-352. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=149173048
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/01621459.2020.1772080
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 18
        StartPage: 335
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      – TitleFull: Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data.
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            NameFull: Yadlowsky, Steve
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            NameFull: Pellegrini, Fabio
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            NameFull: Lionetto, Federica
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            NameFull: Braune, Stefan
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            NameFull: Tian, Lu
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            – D: 01
              M: 03
              Text: Mar2021
              Type: published
              Y: 2021
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              Value: 01621459
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              Value: 116
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              Value: 533
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            – TitleFull: Journal of the American Statistical Association
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