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. |
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| 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 |
| ISSN: | 1559-2030 |
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| DOI: | 10.1016/j.cct.2026.108365 |
