ArticleSoftwareX2025
SWCRTsimulator: A simulation-based platform for power estimation in stepped wedge cluster randomized trials with interval-censored outcomes.
Article in SoftwareX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The 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.
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Authors and funding
3 authors.
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Abstract
Stepped wedge cluster randomized trials (SWCRTs) have become increasingly popular across various disciplines, particularly in public health and clinical research, as they allow evaluations of interventions rolled out sequentially across clusters. SWCRTsimulator is a user-friendly, web-based RShiny application designed to facilitate sample size and statistical power estimation for an interval-censored time-to-event outcome in a SWCRT. Leveraging Monte Carlo simulations, the platform accommodates various study design features, including heterogeneity in intervention effect across different clusters, to provide a more accurate and reliable statistical approach to sample size and power estimates as compared to the approximate methods based on study design features when a closed-form solution is not feasible. SWCRTsimulator provides customizable visualizations for simulation results. We also illustrate the practical application of this platform using the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.