ArticleBiometrical journal. Biometrische Zeitschrift2026
Optimal Designs in Open-Cohort Longitudinal Cluster Randomized Trials With a Continuous Outcome.
Jingxia Liu, Fan Li, Xuping Luo, Li-Shiun Chen, Alex Ramsey
Abstract read
In one paragraphArticle in Biometrical journal. Biometrische Zeitschrift, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
5 authors.
Jingxia LiuDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri, USA.ORCID 0000-0002-9434-7907 Xuping LuoInstitute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Missouri, USA.
Li-Shiun ChenDepartment of Psychiatry, Washington University School of Medicine, St Louis, Missouri, USA.
Alex RamseyDepartment of Psychiatry, Washington University School of Medicine, St Louis, Missouri, USA.
Funding
Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0MWU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8MTranslating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher I. Amos, Rayjean J. Hung · 2017 to 2026
$23.7MWashington University Implementation Science Center for Cancer Control (WU-ISCCC)P50CA244431 · NCI · WASHINGTON UNIVERSITY · PI COLDITZ, GRAHAM A. · 2019 to 2023
$8.0MA multilevel intervention to personalize and improve tobacco treatment in primary careR01DA056050 · NIDA · WASHINGTON UNIVERSITY · PI Li-Shiun Chen, Alex Taylor Ramsey · 2022 to 2026
$3.5MPrecision prevention strategy to increase uptake and engagement in lung cancer screening and smoking cessation treatmentR01CA268030 · NCI · WASHINGTON UNIVERSITY · PI Li-Shiun Chen, Alex Taylor Ramsey · 2022 to 2026
$3.3MImplementation science to scale and sustain tobacco treatment leveraging point of care paradigm and health information technologyUG3CA305777 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C, CHEN, LI-SHIUN · 2025 to 2025
$1.6MAlvin J. Siteman Cancer Center at Washington University School of Medicine P30CA091842CTSA-Institute of Clinical and Translational Sciences UL1TR002345 - CTRFP2019-05Institutes of Health (NIH) R01CA268030Institutes of Health (NIH) R01DA056050NCATS NIH HHS UL1 TR002345NCI NIH HHS P30 CA091842NCI NIH HHS P50 CA244431NCI NIH HHS R01 CA268030NCI NIH HHS U19 CA203654NCI NIH HHS UG3 CA305777NIDA NIH HHS R01 DA056050Patient-Centered Outcomes Research Institute Award DoD LC230570Patient-Centered Outcomes Research Institute Award ME-2022C2-27676Siteman Cancer Center-Prevention and Control Research Program P50CA244431
6 · The paper itselfAbstract
Although sample size calculation for open-cohort longitudinal cluster randomized trials (LCRTs) under a fixed design framework was developed by Kasza et al., unifying the closed-cohort and repeated cross-sectional sampling provided in Hooper et al. when a churn rate is constant, there has been no prior efforts in developing optimal open-cohort LCRTs that maximizes the design efficiency. This work assumes a prespecified number of periods
Indexed as
BiometryRandomized Controlled Trials as TopicResearch DesignAlgorithmsCluster AnalysisHumansLongitudinal StudiesSample Sizecluster randomized crossover (CRXO) triallocal optimal design (LOD)MaxiMin optimal design (MMD)parallel‐arm longitudinal cluster randomized trial (PA‐LCRT)relative efficiency (RE)stepped wedge cluster randomized trial (SW‐CRT)
Identifiers
PMID42104774
PMCPMC13611829
What OpenQuestion holds
Textmetadata
Read underepoch 390