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Aligning Estimands to Strengthen the Credibility of Network Meta-Analysis: Implications for Indirect Treatment Comparisons.

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Title: Aligning Estimands to Strengthen the Credibility of Network Meta-Analysis: Implications for Indirect Treatment Comparisons.
Authors: Xing, Xing1 (AUTHOR), Lin, Lifeng2 (AUTHOR), Tong, Jiayi1 (AUTHOR), He, Philip3 (AUTHOR), He, Weili4 (AUTHOR), Chu, Haitao5,6 (AUTHOR) chux0051@umn.edu
Source: Statistics in Biopharmaceutical Research. Jul2026, p1-18. 18p. 2 Illustrations.
Database: Academic Search Ultimate
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  Data: Aligning Estimands to Strengthen the Credibility of Network Meta-Analysis: Implications for Indirect Treatment Comparisons.
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  Data: <searchLink fieldCode="JN" term="%22Statistics+in+Biopharmaceutical+Research%22">Statistics in Biopharmaceutical Research</searchLink>. Jul2026, p1-18. 18p. 2 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195393896
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        Value: 10.1080/19466315.2026.2703540
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      – Code: eng
        Text: English
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      – TitleFull: Aligning Estimands to Strengthen the Credibility of Network Meta-Analysis: Implications for Indirect Treatment Comparisons.
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              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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