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Bayesian adaptive cluster-randomized designs with long primary endpoints for pragmatic weight loss studies implemented in rural communities.

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Title: Bayesian adaptive cluster-randomized designs with long primary endpoints for pragmatic weight loss studies implemented in rural communities.
Authors: Bernal J; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA. Electronic address: jbernal@kumc.edu., Wick J; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA; University of Kansas Cancer Center, Kansas City, KS, USA., Befort C; University of Kansas Cancer Center, Kansas City, KS, USA; Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA., Gajewski B; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA; University of Kansas Cancer Center, Kansas City, KS, USA.
Source: Contemporary clinical trials [Contemp Clin Trials] 2026 Aug; Vol. 167, pp. 108365. Date of Electronic Publication: 2026 Jun 01.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101242342 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-2030 (Electronic) Linking ISSN: 15517144 NLM ISO Abbreviation: Contemp Clin Trials Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Bernal+J%22">Bernal J</searchLink>; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA. Electronic address: jbernal@kumc.edu.<br /><searchLink fieldCode="AU" term="%22Wick+J%22">Wick J</searchLink>; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA; University of Kansas Cancer Center, Kansas City, KS, USA.<br /><searchLink fieldCode="AU" term="%22Befort+C%22">Befort C</searchLink>; University of Kansas Cancer Center, Kansas City, KS, USA; Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA.<br /><searchLink fieldCode="AU" term="%22Gajewski+B%22">Gajewski B</searchLink>; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA; University of Kansas Cancer Center, Kansas City, KS, USA.
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  Data: <searchLink fieldCode="JN" term="%22101242342%22">Contemporary clinical trials</searchLink> [Contemp Clin Trials] 2026 Aug; Vol. 167, pp. 108365. <i>Date of Electronic Publication: </i>2026 Jun 01.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101242342 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1559-2030 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215517144%22">15517144 </searchLink><i>NLM ISO Abbreviation: </i>Contemp Clin Trials <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.cct.2026.108365
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        Text: English
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      – TitleFull: Bayesian adaptive cluster-randomized designs with long primary endpoints for pragmatic weight loss studies implemented in rural communities.
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              Text: 2026 Aug
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              Y: 2026
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