Adaptive Multi-Arm Experiment
An adaptive multi-arm experiment simultaneously evaluates several treatment conditions against a common control and modifies the trial in real time based on accumulating data — dropping ineffective arms early, reallocating participants toward promising ones, or adjusting sample sizes — all while controlling error rates. The approach maximizes information gained per participant and reduces the time and cost required to identify effective treatments relative to running sequential separate trials.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Royston, P., Parmar, M. K. B., & Qian, W. (2003). Novel designs for multi-arm clinical trials with survival outcomes with an application in ovarian cancer. Statistics in Medicine, 22(14), 2239–2256. · DOI 10.1002/sim.1430
- Wason, J., Magirr, D., Law, M., & Jaki, T. (2016). Some recommendations for multi-arm multi-stage trials. Statistical Methods in Medical Research, 25(2), 716–727. · DOI 10.1177/0962280212465498
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.