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在贝叶斯I期试验设计中纳入历史数据:白种人与亚洲人毒性耐受性问题

Incorporating Historical Data in Bayesian Phase I Trial Design: The Caucasian-to-Asian Toxicity Tolerability Problem.

作者信息

Takeda Kentaro, Morita Satoshi

机构信息

1 Department of Biostatistics and Epidemiology, Graduate School of Medicine, Yokohama City University, Yokohama, Japan.

2 Biostatistics Group, Data Science, Global Development, Astellas Pharma Inc, Tokyo, Japan.

出版信息

Ther Innov Regul Sci. 2015 Jan;49(1):93-99. doi: 10.1177/2168479014546333.

Abstract

Following phase I dose-finding oncology trials completed in Western countries, Asian investigators often conduct further phase I trials to determine the maximum tolerated dose for Asian patients. This may be due to concerns about possible differences in treatment tolerability between Caucasian and Asian patient groups. Our proposed approach aims to appropriately borrow strength from a previous Caucasian trial to improve the maximum tolerated dose determination in an Asian population of patients. We design an Asian phase I trial using the Bayesian continual reassessment method. First we analyze toxicity data from a Caucasian trial to derive the prior distributions for a subsequent Asian trial. Then, we calibrate the informativeness of the prior distributions according to prior effective sample size defined by Morita et al. Extensive simulation studies demonstrate favourable operating characteristics of the proposed method, compared with two methods based on power and noninformative priors, respectively.

摘要

在西方国家完成肿瘤学I期剂量探索试验后,亚洲研究人员通常会开展进一步的I期试验,以确定亚洲患者的最大耐受剂量。这可能是由于担心白种人和亚洲患者群体在治疗耐受性方面可能存在差异。我们提出的方法旨在适当地借鉴先前白种人试验的优势,以改进亚洲患者群体中最大耐受剂量的确定。我们使用贝叶斯连续重新评估方法设计一项亚洲I期试验。首先,我们分析来自白种人试验的毒性数据,以得出后续亚洲试验的先验分布。然后,我们根据森田等人定义的先验有效样本量校准先验分布的信息量。广泛的模拟研究表明,与分别基于效能和无信息先验的两种方法相比,所提出方法具有良好的操作特性。

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