Multi-treatment optimal response-adaptive designs for phase III clinical trials

2011 ◽  
Vol 40 (1) ◽  
pp. 33-44 ◽  
Author(s):  
Atanu Biswas ◽  
Saumen Mandal ◽  
Rahul Bhattacharya
Keyword(s):  
Clinical Trials ◽  
Adaptive Designs ◽  
Phase Iii ◽  
Optimal Response ◽  
Phase Iii Clinical Trials ◽  
Response Adaptive Designs

Bayesian optimal response-adaptive design for binary responses using stopping rule

2016 ◽  
Vol 27 (3) ◽  
pp. 891-904 ◽  
Author(s):  
Fumiyasu Komaki ◽  
Atanu Biswas
Keyword(s):  
Clinical Trials ◽  
Adaptive Design ◽  
Real Data ◽  
Adaptive Designs ◽  
Phase Iii ◽  
Data Set ◽  
Binary Responses ◽  
Phase Iii Clinical Trials ◽  
Number Of Patients ◽  
Response Adaptive Designs

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.

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