Randomised Response-Adaptive Designs in Clinical Trials. A. C. Atkinson and A. Biswas (2014). Boca Raton: CRC Press, Taylor and Francis Group. 323 pages, ISBN 978-1-58488-693-8.

2014 ◽  
Vol 56 (6) ◽  
pp. 1093-1094
Author(s):  
Geraldine Rauch
Keyword(s):  
Clinical Trials ◽  
Adaptive Designs ◽  
Response Adaptive Designs

The use of response-adaptive designs in clinical trials

1993 ◽  
Vol 14 (6) ◽  
pp. 471-484 ◽  
Author(s):  
William F. Rosenberger ◽  
John M. Lachin
Keyword(s):  
Clinical Trials ◽  
Adaptive Designs ◽  
Response Adaptive Designs

scholarly journals A new inferential approach for response-adaptive clinical trials: the variance-stabilized bootstrap

Test ◽  
2021 ◽  
Author(s):  
Alessandro Baldi Antognini ◽  
Marco Novelli ◽  
Maroussa Zagoraiou
Keyword(s):  
Clinical Trials ◽  
Adaptive Designs ◽  
Simulation Studies ◽  
Adaptive Randomization ◽  
Allocation Procedure ◽  
Adaptive Clinical Trials ◽  
Response Adaptive Designs ◽  
Treatment Comparisons

AbstractThis paper discusses disadvantages and limitations of the available inferential approaches in sequential clinical trials for treatment comparisons managed via response-adaptive randomization. Then, we propose an inferential methodology for response-adaptive designs which, by exploiting a variance stabilizing transformation into a bootstrap framework, is able to overcome the above-mentioned drawbacks, regardless of the chosen allocation procedure as well as the desired target. We derive the theoretical properties of the suggested proposal, showing its superiority with respect to likelihood, randomization and design-based inferential approaches. Several illustrative examples and simulation studies are provided in order to confirm the relevance of our results.

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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