Utility-Based Dose-Finding in Practice: Some Empirical Contributions and Recommendations

Jihane Aouni
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引用次数: 3

Abstract

selection. The selection of doses (number and spacing) is also discussed in terms of sensitivity of the framework to such aspects; the properties of the operating characteristics in this respect are explored. On the other hand, we assess, through simulations, the influence of phase II sample size, based on the relative utility loss criterion, and we compare different (fixed, adaptive) designs based on the suggested stopping criteria for interim analysis. This section is complemented by an analysis example based on a real dose-find ing study. Finally, the Discussion and Conclusions section consists in summarizing our decision-making framework (decision rules for dose selection, and decision criteria for phase II recommendations and interim analysis). Abstract Aspects related to dose-finding trials are of major importance in clinical development. Poor dose selection has been recognized as a key driver of failures in late phase development programs and postponements in drug approvals. The aim of this paper is to develop a flexible utility-based dose selection framework for phase II dose-finding studies that has satisfactory operating characteristics. This framework also allows to plan interim analyses with stopping rules that can be easily defined and interpreted by the clinical team within this same framework.
实践中基于效用的剂量发现:一些经验贡献和建议
选择。还根据框架对这些方面的敏感性讨论了剂量(数目和间隔)的选择;探讨了这方面的运行特性。另一方面,基于相对效用损失准则,我们通过模拟评估了第二阶段样本量的影响,并根据建议的中期分析停止标准比较了不同(固定的、自适应的)设计。本节还附有一个基于实际剂量测定研究的分析示例。最后,讨论和结论部分总结了我们的决策框架(剂量选择的决策规则,以及II期建议和中期分析的决策标准)。剂量寻找试验的相关方面在临床发展中具有重要意义。剂量选择不当已被认为是导致后期开发项目失败和药物批准推迟的关键因素。本文的目的是为具有令人满意的操作特性的II期剂量发现研究开发一个灵活的基于效用的剂量选择框架。该框架还允许计划具有停止规则的中期分析,这些规则可以在同一框架内由临床团队轻松定义和解释。
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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