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Cluster Randomized Adaptive Experiment/Evidence
Method evidence record

Cluster Randomized Adaptive Experiment

A cluster randomized adaptive experiment combines two methodological principles: (1) intact groups such as schools, clinics, or villages are randomly assigned to treatment conditions rather than individuals, and (2) pre-specified rules allow the design to be modified during the trial based on accumulating cluster-level data. Adaptations may include dropping underperforming arms, reallocating clusters, or adjusting sample size, while maintaining statistical validity and controlling Type I error.

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Source record

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Cluster Randomized Adaptive Experiment
Taxonomic method record · process-pipeline / experimental-design
  • Hayes, R. J., & Moulton, L. H. (2017). Cluster Randomised Trials (2nd ed.). CRC Press / Chapman & Hall. · ISBN 978-1498728225
  • Pallmann, P., Bedding, A. W., Choodari-Oskooei, B., Dimairo, M., Flight, L., Hampson, L. V., ... & Jaki, T. (2018). Adaptive designs in clinical trials: why use them, and how to run and report them. BMC Medicine, 16(1), 29. · DOI 10.1186/s12916-018-1017-7
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketAdaptive Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketAdaptive Randomized Controlled Trialmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBlocked Randomized Controlled Trialmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCluster Randomized Controlled Trialmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-arm experimentmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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