A comparison of bayesian adaptive randomization and multi-stage designs for multi-arm clinical trials

@inproceedings{Wason2013ACO,
  title={A comparison of bayesian adaptive randomization and multi-stage designs for multi-arm clinical trials},
  author={James M. S. Wason and Lorenzo Trippa},
  booktitle={Statistics in medicine},
  year={2013}
}
When several experimental treatments are available for testing, multi-arm trials provide gains in efficiency over separate trials. Including interim analyses allows the investigator to effectively use the data gathered during the trial. Bayesian adaptive randomization (AR) and multi-arm multi-stage (MAMS) designs are two distinct methods that use patient outcomes to improve the efficiency and ethics of the trial. AR allocates a greater proportion of future patients to treatments that have… CONTINUE READING