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On the mixed-model analysis of covariance in cluster-randomized trials.

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Title: On the mixed-model analysis of covariance in cluster-randomized trials.
Authors: Wang B; Department of Biostatistics, University of Michigan., Harhay MO; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania., Tong J; Department of Biostatistics, Yale University., Small DS; Department of Statistics and Data Science, The Wharton School, University of Pennsylvania., Morris TP; MRC Clinical Trials Unit at UCL., Li F; Department of Biostatistics and Center for Methods in Implementation and Prevention Science, Yale University.
Source: Statistical science : a review journal of the Institute of Mathematical Statistics [Stat Sci] 2026 Feb; Vol. 41 (1), pp. 49-68. Date of Electronic Publication: 2026 Jan 14.
Publication Type: Journal Article
Journal Info: Publisher: The Institute Country of Publication: United States NLM ID: 100962994 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0883-4237 (Print) Linking ISSN: 08834237 NLM ISO Abbreviation: Stat Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Wang+B%22">Wang B</searchLink>; Department of Biostatistics, University of Michigan.<br /><searchLink fieldCode="AU" term="%22Harhay+MO%22">Harhay MO</searchLink>; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Tong+J%22">Tong J</searchLink>; Department of Biostatistics, Yale University.<br /><searchLink fieldCode="AU" term="%22Small+DS%22">Small DS</searchLink>; Department of Statistics and Data Science, The Wharton School, University of Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Morris+TP%22">Morris TP</searchLink>; MRC Clinical Trials Unit at UCL.<br /><searchLink fieldCode="AU" term="%22Li+F%22">Li F</searchLink>; Department of Biostatistics and Center for Methods in Implementation and Prevention Science, Yale University.
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  Data: <searchLink fieldCode="JN" term="%22100962994%22">Statistical science : a review journal of the Institute of Mathematical Statistics</searchLink> [Stat Sci] 2026 Feb; Vol. 41 (1), pp. 49-68. <i>Date of Electronic Publication: </i>2026 Jan 14.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22The+Institute%22">The Institute </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>100962994 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>0883-4237 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208834237%22">08834237 </searchLink><i>NLM ISO Abbreviation: </i>Stat Sci <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41541796
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        Value: 10.1214/24-sts944
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        Text: English
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              Text: 2026 Feb
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