Literature DB >> 8119063

The use of response-adaptive designs in clinical trials.

W F Rosenberger1, J M Lachin.   

Abstract

Response-adaptive designs in clinical trials are schemes for patient assignment to treatment, the goal of which is to place more patients on the better treatment based on patient responses already accrued in the trial. While ethically attractive at first glance, these designs have had very little use in practice; yet the statistical literature is rich on this subject. We discuss procedures and properties of these designs. Particular focus is given to the randomized play-the-winner rule of Wei and Durham, which was used in the ECMO trial. We also discuss reasons for the lack of use of these models, and areas of current and future research to address the weaknesses of these methods. We conclude that these designs may be applicable in some situations and describe conditions under which such a trial may be feasible.

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Mesh:

Year:  1993        PMID: 8119063     DOI: 10.1016/0197-2456(93)90028-c

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  19 in total

1.  Evidence-based medicine, heterogeneity of treatment effects, and the trouble with averages.

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2.  Statistical controversies in clinical research: scientific and ethical problems with adaptive randomization in comparative clinical trials.

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3.  Adaptive enrichment designs for clinical trials.

Authors:  Noah Simon; Richard Simon
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4.  Using Randomization Tests to Preserve Type I Error With Response-Adaptive and Covariate-Adaptive Randomization.

Authors:  Richard Simon; Noah Robin Simon
Journal:  Stat Probab Lett       Date:  2011-07       Impact factor: 0.870

5.  Active Clinical Trials for Personalized Medicine.

Authors:  Stanislav Minsker; Ying-Qi Zhao; Guang Cheng
Journal:  J Am Stat Assoc       Date:  2016-08-18       Impact factor: 5.033

6.  Compound adaptive GPU design for clinical trials.

Authors:  Ao Yuan; Paul Bezandry; George Bonney
Journal:  J Stat Plan Inference       Date:  2010-11       Impact factor: 1.111

7.  Estimation of treatment effect under non-proportional hazards and conditionally independent censoring.

Authors:  Adam P Boyd; John M Kittelson; Daniel L Gillen
Journal:  Stat Med       Date:  2012-07-04       Impact factor: 2.373

8.  Toward personalized smoking-cessation treatment: Using a predictive modeling approach to guide decisions regarding stimulant medication treatment of attention-deficit/hyperactivity disorder (ADHD) in smokers.

Authors:  Sean X Luo; Lirio S Covey; Mei-Chen Hu; Frances R Levin; Edward V Nunes; Theresa M Winhusen
Journal:  Am J Addict       Date:  2015-02-06

9.  Response-adaptive decision-theoretic trial design: operating characteristics and ethics.

Authors:  Ari M Lipsky; Roger J Lewis
Journal:  Stat Med       Date:  2013-04-04       Impact factor: 2.373

10.  A simulation study of outcome adaptive randomization in multi-arm clinical trials.

Authors:  J Kyle Wathen; Peter F Thall
Journal:  Clin Trials       Date:  2017-02-01       Impact factor: 2.486

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