Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Michael Sweeting, Adrian Mander, Tony Sabin
Title: bcrm: Bayesian Continual Reassessment Method Designs for Phase I Dose-Finding Trials
Abstract: This paper presents the R package bcrm for conducting and assessing Bayesian continual reassessment method (CRM) designs in Phase I dose-escalation trials. CRM designsare a class of adaptive design that select the dose to be given to the next recruited patient based on accumulating toxicity data from patients already recruited into the trial, often using Bayesian methodology. Despite the original CRM design being proposed in 1990, the methodology is still not widely implemented within oncology Phase I trials. The aim of this paper is to demonstrate, through example of the bcrm package, how a variety of possible designs can be easily implemented within the R statistical software, and how properties of the designs can be communicated to trial investigators using simple textual and graphical output obtained from the package. This in turn should facilitate an iterative process to allow a design to be chosen that is suitable to the needs of the investigator. Our bcrm package is the first to offer a large comprehensive choice of CRM designs, priors and escalation procedures, which can be easily compared and contrasted within the package through the assessment of operating characteristics.

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Paper: bcrm: Bayesian Continual Reassessment Method Designs for Phase I Dose-Finding Trials     Download PDF (Downloads: 10624)
bcrm_0.4.3.tar.gz: R source package Download (Downloads: 426; 30KB)
v54i13.R: R example code from the paper Download (Downloads: 542; 12KB)

DOI: 10.18637/jss.v054.i13

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.