Bayesian optimal response-adaptive design for binary responses using stopping rule
Statistical Methods in Medical Research
Response-adaptive designs are used in phase III clinical trials to allocate a larger number of patients to the better treatment arm. Optimal designs are explored in the recent years in the context of response-adaptive designs, in the frequentist view point only. In the present paper, we propose some response-adaptive designs for two treatments based on Bayesian prediction for phase III clinical trials. Some properties are studied and numerically compared with some existing competitors. A real data set is used to illustrate the applicability of the proposed methodology where we redesign the experiment using parameters derived from the data set.
Komaki, Fumiyasu and Biswas, Atanu, "Bayesian optimal response-adaptive design for binary responses using stopping rule" (2018). Journal Articles. 1456.