Literature DB >> 12973784

Minimizing predictability while retaining balance through the use of less restrictive randomization procedures.

Vance W Berger1, Anastasia Ivanova, Maria Deloria Knoll.   

Abstract

The interpretation of between-group comparisons is facilitated by the creation of treatment groups that are similar to each other in baseline composition. To prevent treatment effects from being confounded with time effects, most trials use restricted randomization to force balance. An unintended consequence of these restrictions is that they create patterns that allow for the prediction of future treatment allocations, and hence selection bias, especially in unmasked trials. In fact, the more restrictive the allocation procedure, the greater the potential for selection bias. It was decided, in the context of a recent clinical trial comparing two dosing schedules of paclitaxel and carboplatin for advanced stage IIIB/IV non-small-cell lung cancer, that the randomized block procedure could not simultaneously protect sufficiently against both selection and chronological bias. In this paper we detail our development of the maximal procedure. The maximal procedure takes as input the extent of chronological bias allowed by the randomized block procedure, then matches it, but does so with fewer restrictions. This feature makes the maximal procedure more resistant to selection bias than the randomized block procedure is. Published in 2003 by John Wiley & Sons, Ltd.

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Year:  2003        PMID: 12973784     DOI: 10.1002/sim.1538

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  39 in total

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2.  Minimization, by its nature, precludes allocation concealment, and invites selection bias.

Authors:  Vance W Berger
Journal:  Contemp Clin Trials       Date:  2010-05-10       Impact factor: 2.226

3.  A simplified formula for quantification of the probability of deterministic assignments in permuted block randomization.

Authors:  Wenle Zhao; Yanqiu Weng
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4.  Practical tips for surgical research. Ensuring balanced groups in surgical trials.

Authors:  Forough Farrokhyar; Sohail Bajammal; Kamyar Kahnamoui; Mohit Bhandari
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5.  Minimal sufficient balance-a new strategy to balance baseline covariates and preserve randomness of treatment allocation.

Authors:  Wenle Zhao; Michael D Hill; Yuko Palesch
Journal:  Stat Methods Med Res       Date:  2012-01-26       Impact factor: 3.021

6.  Conflicts of Interest, Selective Inertia, and Research Malpractice in Randomized Clinical Trials: An Unholy Trinity.

Authors:  Vance W Berger
Journal:  Sci Eng Ethics       Date:  2014-08-24       Impact factor: 3.525

7.  A unifying framework for standard and covariate-adaptive randomization procedures based on minimizing suitable imbalance functions.

Authors:  Vance W Berger
Journal:  Contemp Clin Trials       Date:  2013-10-09       Impact factor: 2.226

8.  Assessing the success of masking in acupuncture trials: further insight.

Authors:  Vance W Berger
Journal:  Chin J Integr Med       Date:  2011-07-03       Impact factor: 1.978

9.  Implementing Optimal Designs for Dose-Response Studies Through Adaptive Randomization for a Small Population Group.

Authors:  Yevgen Ryeznik; Oleksandr Sverdlov; Andrew C Hooker
Journal:  AAPS J       Date:  2018-07-19       Impact factor: 4.009

10.  Letter to the editor: efficacy and degree of bias in knee injury prevention studies: a systematic review of RCTs.

Authors:  Vance W Berger
Journal:  Clin Orthop Relat Res       Date:  2013-01       Impact factor: 4.176

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