Cluster Randomized Multi-Arm Experiment
A cluster randomized multi-arm experiment assigns intact groups — such as schools, clinics, or villages — rather than individuals to three or more experimental conditions simultaneously. Randomization occurs at the cluster level to prevent contamination between arms, while the multi-arm structure allows simultaneous evaluation of several interventions against a common control or each other, improving efficiency over a series of two-arm studies.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Donner, A., & Klar, N. (2000). Design and Analysis of Cluster Randomization Trials in Health Research. Arnold. · ISBN 978-0340691533
- Hemming, K., Girling, A., Sitch, A., Marsh, J., & Lilford, R. (2017). Sample size calculations for cluster randomised controlled trials with a fixed number of clusters. BMC Medical Research Methodology, 17, 73. · DOI 10.1186/s12874-017-0292-x
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.