期刊文献+

抗肿瘤药物贝叶斯Ⅰ期临床试验设计方法比较研究 被引量:3

Simulation Studies of Three Anti-tumor Phase Ⅰ Clinical Trial Designs
下载PDF
导出
摘要 Ⅰ期临床试验的主要目的是探索药物毒性最大耐受剂量MTD,而MTD估计的准确与否将影响之后的Ⅱ期和Ⅲ期临床试验研究的结果。抗肿瘤药物Ⅰ期试验的特点是直接对病人进行试验,且样本量较小,这对构造估计精确度高并具有安全性保障要求的统计设计方法提出了挑战。回顾三种常用的Ⅰ期试验设计方法有:3+3设计、CRM设计和mTPI设计。3+3设计是应用较为广泛的传统方法,后两者是当前常用的贝叶斯自适应试验设计方法。通过大量模拟研究对三种方法从最优分配、安全性和估计MTD精确性三方面给以全面考察,并结合中国实际得出mTPI设计是比较适合推荐的I期临床试验设计方法的结论。 The primary goal of phase Ⅰ clinical trial is to identify the maximum tolerated dose(MTD) of a new drug.The high uncertainty from the estimation of MTD may result in the selected doses for phase Ⅱ and phase Ⅲ studies yielding either insufficient efficacy or ineffectively defining the most suitable dosing regimen for approval.The anit-tumor drug studies conduct clinical trials on patients and ordinarily the corresponding sample size is small,which need the development of more accurate and safer statistical methods for phase Ⅰ studies.This paper introduces three influential design methods in phase Ⅰ.Among them,3+3 is the traditional design,CRM and mTPI designs are Bayesian adaptive clinical trial designs.By conducting extensive simulations,we examine the operating characteristics of three approaches from the angles of optimal-assignment,safety control and precision of estimation of MTD.This paper ends with a discussion from the prospective of China’s current situation and concludes that the mTPI approach is a reliable and an ethical method and may easily to be implemented to the real clinical practice.
作者 潘海涛
出处 《统计与信息论坛》 CSSCI 2013年第5期25-32,共8页 Journal of Statistics and Information
基金 西安财经学院校级科研项目<试验设计中样本量估计的贝叶斯方法研究与应用>(11XCK10) 国家自然科学基金项目<贝叶斯非劣效桥接试验设计框架与分析方法研究>(81002190)
关键词 I期临床试验 贝叶斯自适应试验设计 抗肿瘤药物 Phase Ⅰ clinical trial Bayesian adaptive design anti-tumor drug
  • 相关文献

参考文献18

  • 1Ashby D. Bayesian Statistics in Medicine: A 25 Year Review[J]. Statistics in Medicine, 2006(25).
  • 2Berry D A. Bayesian Clinical Trials[J]. Nature Reviews Drug Discovery, 2006(5).
  • 3Biswas S, Liu D D, Lee J J,Berry D A. Bayesian Clinical Trials at the University of Texas M. D. Anderson Cancer Center [J]. Clinical Trials,2009(6).
  • 4Berry S M, Carlin B P, Lee J J, Muller P. Bayesian Adaptive Methods Forelinieal Trials[M]. Chapman&Hall: Boca Raton, 2010.
  • 5Chevret S. Bayesian Adaptive Clinical Trials: A Dream for Statisticians only[J]. Statistics in Medicine, 2011 (5).
  • 6FDA, CDRH. Draft FDA Guidance on the Use of Bayesian Statistics for Medical Devices Trials[Z]. 2006.
  • 7中国国家药品与食品监管局.药物I期临床试验管理指导原则(征求意见稿)[S].2011.
  • 8Ji Y, Li Y S, Bekele B N. Dose-Finding in Phase Lclinical Trials Based on Toxicity Probability Intervals[J]. Clinical Trials, 2007(4).
  • 9O'Quigle J, Pepe M, Fisher L. Continual Reassessment Method: A Practical Design for Phase I Clinical Trials in Cancer [J]. Biometrics, 1990(46).
  • 10Ji Y, Li Y, Bekelen B N. Dose Finding in Phase I Clinical Trials Based on Toxicity Probability Intervals[J]. Clinical Trials, 2007(4).

同被引文献12

引证文献3

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部