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Causally-interpretable random-effects meta-analysis.

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Title: Causally-interpretable random-effects meta-analysis.
Authors: Clark JM; Division of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States., Rott KW; Department of Statistics, Oregon State University, Corvallis, OR 97331, United States., Hodges JS; Division of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States., Huling JD; Division of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States.
Source: Biometrics [Biometrics] 2026 Apr 09; Vol. 82 (2).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 0370625 Publication Model: Print Cited Medium: Internet ISSN: 1541-0420 (Electronic) Linking ISSN: 0006341X NLM ISO Abbreviation: Biometrics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Clark+JM%22">Clark JM</searchLink>; Division of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States.<br /><searchLink fieldCode="AU" term="%22Rott+KW%22">Rott KW</searchLink>; Department of Statistics, Oregon State University, Corvallis, OR 97331, United States.<br /><searchLink fieldCode="AU" term="%22Hodges+JS%22">Hodges JS</searchLink>; Division of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States.<br /><searchLink fieldCode="AU" term="%22Huling+JD%22">Huling JD</searchLink>; Division of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MN 55414, United States.
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        Value: 10.1093/biomtc/ujag108
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      – Code: eng
        Text: English
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      – TitleFull: Causally-interpretable random-effects meta-analysis.
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            NameFull: Clark JM
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            NameFull: Hodges JS
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          Dates:
            – D: 09
              M: 04
              Text: 2026 Apr 09
              Type: published
              Y: 2026
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              Value: 1541-0420
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              Value: 82
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