Literature DB >> 26120220

A Unified Family of Covariate-Adjusted Response-Adaptive Designs Based on Efficiency and Ethics.

Jianhua Hu1, Hongjian Zhu2, Feifang Hu3.   

Abstract

Response-adaptive designs have recently attracted more and more attention in the literature because of its advantages in efficiency and medical ethics. To develop personalized medicine, covariate information plays an important role in both design and analysis of clinical trials. A challenge is how to incorporate covariate information in response-adaptive designs while considering issues of both efficiency and medical ethics. To address this problem, we propose a new and unified family of covariate-adjusted response-adaptive (CARA) designs based on two general measurements of efficiency and ethics. Important properties (including asymptotic properties) of the proposed procedures are studied under categorical covariates. This new family of designs not only introduces new desirable CARA designs, but also unifies several important designs in the literature. We demonstrate the proposed procedures through examples, simulations, and a discussion of related earlier work.

Entities:  

Keywords:  Asymptotic properties; clinical trial; generalized linear models; personalized medicine; power; response-adaptive randomization

Year:  2015        PMID: 26120220      PMCID: PMC4478080          DOI: 10.1080/01621459.2014.903846

Source DB:  PubMed          Journal:  J Am Stat Assoc        ISSN: 0162-1459            Impact factor:   5.033


  16 in total

1.  Optimal adaptive designs for binary response trials.

Authors:  W F Rosenberger; N Stallard; A Ivanova; C N Harper; M L Ricks
Journal:  Biometrics       Date:  2001-09       Impact factor: 2.571

2.  Covariate-adjusted response-adaptive designs for binary response.

Authors:  W F Rosenberger; A N Vidyashankar; D K Agarwal
Journal:  J Biopharm Stat       Date:  2001-11       Impact factor: 1.051

3.  Adaptive clinical trials: the promise and the caution.

Authors:  Donald A Berry
Journal:  J Clin Oncol       Date:  2010-12-20       Impact factor: 44.544

4.  The hidden effect of time.

Authors:  D G Altman; J P Royston
Journal:  Stat Med       Date:  1988-06       Impact factor: 2.373

5.  The randomization and stratification of patients to clinical trials.

Authors:  M Zelen
Journal:  J Chronic Dis       Date:  1974-09

6.  Outcome--adaptive randomization: is it useful?

Authors:  Edward L Korn; Boris Freidlin
Journal:  J Clin Oncol       Date:  2010-12-20       Impact factor: 44.544

7.  Design of a multicenter randomized trial for the Stroke Prevention in Atrial Fibrillation Study. The Stroke Prevention in Atrial Fibrillation Investigators.

Authors: 
Journal:  Stroke       Date:  1990-04       Impact factor: 7.914

Review 8.  Lessons from the Stroke Prevention in Atrial Fibrillation trials.

Authors:  Robert G Hart; Jonathan L Halperin; Lesly A Pearce; David C Anderson; Richard A Kronmal; Ruth McBride; Elaine Nasco; David G Sherman; Robert L Talbert; John R Marler
Journal:  Ann Intern Med       Date:  2003-05-20       Impact factor: 25.391

9.  Bayesian adaptive design for targeted therapy development in lung cancer--a step toward personalized medicine.

Authors:  Xian Zhou; Suyu Liu; Edward S Kim; Roy S Herbst; J Jack Lee
Journal:  Clin Trials       Date:  2008       Impact factor: 2.486

10.  Bayesian clinical trials at the University of Texas M. D. Anderson Cancer Center.

Authors:  Swati Biswas; Diane D Liu; J Jack Lee; Donald A Berry
Journal:  Clin Trials       Date:  2009-06       Impact factor: 2.486

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  2 in total

Review 1.  Challenges and opportunities in biomarker-driven trials: adaptive randomization.

Authors:  Yeonhee Park
Journal:  Ann Transl Med       Date:  2022-09

2.  Personalized Risk-Based Screening Design for Comparative Two-Arm Group Sequential Clinical Trials.

Authors:  Yeonhee Park
Journal:  J Pers Med       Date:  2022-03-12
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