Quality principles in Phase I dose escalation design.

IF 1.2 4区 医学 Q4 PHARMACOLOGY & PHARMACY
Jonathan M Siegel
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引用次数: 0

Abstract

This paper discusses quality principles for Phase I model-based dose escalation design. It emphasizes that a loss function underlying a dose escalation trial estimator can be usefully interpreted as a quantified representation of the ethical assumptions underlying the treatment decisions to be made in the trial. Based on this principle, it discusses additional general quality design principles developers of clinical trial design methods should consider, including the role of continuous loss functions in quality per Taguchi, and per Deming the role of asymmetric loss functions and the importance of understanding the underlying process and its order of operations. It provides a number of model-based dose escalation designs as examples, including the mTPI as an introductory example, the EWOC design, and the CRM and modifications to it. It introduces some foundational scientific underpinnings and principles of quality philosophy, and explains how the principles apply to the examples. It stresses the importance of an engineering process by which a study is designed to meet identified and investigated user requirements.

一期剂量递增设计的质量原则。
本文讨论了基于模型的第一阶段剂量递增设计的质量原则。它强调,剂量递增试验估计器的损失函数可以有效地解释为试验中治疗决策的伦理假设的量化表示。基于这一原则,本文讨论了临床试验设计方法开发人员应考虑的其他一般质量设计原则,包括田口理论中连续损失函数在质量中的作用,Deming理论中不对称损失函数的作用以及理解潜在过程及其操作顺序的重要性。它提供了一些基于模型的剂量递增设计作为示例,包括mTPI作为介绍性示例,EWOC设计,CRM及其修改。介绍了质量哲学的一些基本科学基础和原则,并解释了这些原则如何应用于实例。它强调工程过程的重要性,通过工程过程设计研究以满足已识别和调查的用户需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biopharmaceutical Statistics
Journal of Biopharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.50
自引率
18.20%
发文量
71
审稿时长
6-12 weeks
期刊介绍: The Journal of Biopharmaceutical Statistics, a rapid publication journal, discusses quality applications of statistics in biopharmaceutical research and development. Now publishing six times per year, it includes expositions of statistical methodology with immediate applicability to biopharmaceutical research in the form of full-length and short manuscripts, review articles, selected/invited conference papers, short articles, and letters to the editor. Addressing timely and provocative topics important to the biostatistical profession, the journal covers: Drug, device, and biological research and development; Drug screening and drug design; Assessment of pharmacological activity; Pharmaceutical formulation and scale-up; Preclinical safety assessment; Bioavailability, bioequivalence, and pharmacokinetics; Phase, I, II, and III clinical development including complex innovative designs; Premarket approval assessment of clinical safety; Postmarketing surveillance; Big data and artificial intelligence and applications.
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