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bcrm: Bayesian Continual Reassessment Method Designs for Phase I Dose-Finding Trials

机译:bcrm:第一阶段剂量寻找试验的贝叶斯连续重新评估方法设计

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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.
机译:本文介绍了用于一期剂量递增试验中进行和评估贝叶斯连续重新评估方法(CRM)设计的R软件包bcrm。 CRM设计是一类适应性设计,通常使用贝叶斯方法,根据积累的已经被纳入试验的患者的毒性数据,选择要给予下一名患者的剂量。尽管在1990年提出了最初的CRM设计,但该方法仍未在肿瘤学第一阶段试验中广泛实施。本文的目的是通过bcrm软件包示例演示如何在R统计软件中轻松实现各种可能的设计,以及如何使用简单的文本和图形输出将设计的属性传达给试验研究人员。从包装中获得。反过来,这应有助于进行迭代过程,以允许选择适合研究人员需求的设计。我们的bcrm软件包是第一个提供大量全面的CRM设计,优先级和升级程序选择的软件包,可以通过评估操作特性在软件包中轻松进行比较和对比。

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