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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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Rekod kaedah taksonomik · 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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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.