Adaptive treatment allocation and selection in multi-arm clinical trials: a Bayesian perspective.

ABSTRACT:

Background

Adaptive designs offer added flexibility in the execution of clinical trials, including the possibilities of allocating more patients to the treatments that turned out more successful, and early stopping due to either declared success or futility. Commonly applied adaptive designs, such as group sequential methods, are based on the frequentist paradigm and on ideas from statistical significance testing. Interim checks during the trial will have the effect of inflating the Type 1 error rate, or, if this rate is controlled and kept fixed, lowering the power.

Results

The purpose of the paper is to demonstrate the usefulness of the Bayesian approach in the design and in the actual running of randomized clinical trials during phase II and III. This approach is based on

SUBMITTER: Arjas E 

PROVIDER: S-EPMC8858379 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature