Literature DB >> 19197961

Optimal response-adaptive designs for normal responses.

Atanu Biswas1, Rahul Bhattacharya.   

Abstract

Most of the available response-adaptive designs in phase III clinical trial set up are not from any optimal consideration. An optimal design for binary responses is given by Rosenberger et al. (2001) and an optimal design for continuous responses is provided by Biswas and Mandal (2004). Recently, Zhang and Rosenberger (2006) [ZR] provided another design for normal responses. Biswas, Bhattacharya and Zhang (2007) pointed out that the design of ZR is not suitable for normally distributed responses, or any distribution having the possibility of negative mean, in general. But they only indicated the problem and bypassed the original problem and set up. In the present paper, we first start with the drawback of ZR. We then provide the appropriate optimal response-adaptive design for normal or continuous distributions which provides the necessary correction for the ZR problem. The proposed methods are illustrated using some real data. 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Mesh:

Year:  2009        PMID: 19197961     DOI: 10.1002/bimj.200810500

Source DB:  PubMed          Journal:  Biom J        ISSN: 0323-3847            Impact factor:   2.207


  2 in total

1.  Implementing Optimal Allocation in Clinical Trials with Multiple Endpoints.

Authors:  Lu Wang; Yong Chen; Hongjian Zhu
Journal:  J Stat Plan Inference       Date:  2016-10-07       Impact factor: 1.111

2.  A response-adaptive randomization procedure for multi-armed clinical trials with normally distributed outcomes.

Authors:  S Faye Williamson; Sofía S Villar
Journal:  Biometrics       Date:  2019-09-19       Impact factor: 2.571

  2 in total

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