Literature DB >> 28340333

The Randomized CRM: An Approach to Overcoming the Long-Memory Property of the CRM.

Joseph S Koopmeiners1,2, Andrew Wey3.   

Abstract

The primary object of a Phase I clinical trial is to determine the maximum tolerated dose (MTD). Typically, the MTD is identified using a dose-escalation study, where initial subjects are treated at the lowest dose level and subsequent subjects are treated at progressively higher dose levels until the MTD is identified. The continual reassessment method (CRM) is a popular model-based dose-escalation design, which utilizes a formal model for the relationship between dose and toxicity to guide dose finding. Recently, it was shown that the CRM has a tendency to get "stuck" on a dose level, with little escalation or de-escalation in the late stages of the trial, due to the long-memory property of the CRM. We propose the randomized CRM (rCRM), which introduces random escalation and de-escalation into the standard CRM dose-finding algorithm, as well as a hybrid approach that incorporates escalation and de-escalation only when certain criteria are met. Our simulation results show that both the rCRM and the hybrid approach reduce the trial-to-trial variability in the number of cohorts treated at the MTD but that the hybrid approach has a more favorable tradeoff with respect to the average number treated at the MTD.

Entities:  

Keywords:  Continual reassessment method; Phase I clinical trial; dose finding; long-memory property

Mesh:

Year:  2017        PMID: 28340333      PMCID: PMC5581285          DOI: 10.1080/10543406.2017.1293076

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  15 in total

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

Authors:  P Thall; P Fox; J Wathen
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3.  A curve-free method for phase I clinical trials.

Authors:  M Gasparini; J Eisele
Journal:  Biometrics       Date:  2000-06       Impact factor: 2.571

4.  Design and analysis of phase I clinical trials.

Authors:  B E Storer
Journal:  Biometrics       Date:  1989-09       Impact factor: 2.571

5.  Some practical improvements in the continual reassessment method for phase I studies.

Authors:  S N Goodman; M L Zahurak; S Piantadosi
Journal:  Stat Med       Date:  1995-06-15       Impact factor: 2.373

Review 6.  Practical Bayesian adaptive randomisation in clinical trials.

Authors:  Peter F Thall; J Kyle Wathen
Journal:  Eur J Cancer       Date:  2007-02-16       Impact factor: 9.162

7.  Discussion of 'small-sample behavior of novel phase I cancer trial designs' by Assaf P Oron and Peter D Hoff.

Authors:  Bradley P Carlin; Wei Zhong; Joseph S Koopmeiners
Journal:  Clin Trials       Date:  2013-02       Impact factor: 2.486

8.  Small-sample behavior of novel phase I cancer trial designs.

Authors:  Assaf P Oron; Peter D Hoff
Journal:  Clin Trials       Date:  2013-02       Impact factor: 2.486

9.  Cancer phase I clinical trials: efficient dose escalation with overdose control.

Authors:  J Babb; A Rogatko; S Zacks
Journal:  Stat Med       Date:  1998-05-30       Impact factor: 2.373

10.  The bivariate continual reassessment method. extending the CRM to phase I trials of two competing outcomes.

Authors:  Thomas M Braun
Journal:  Control Clin Trials       Date:  2002-06
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