第I/II阶段设计,为预先规定的子组选择特定子组的最佳生物剂量
Sydney Porter1, Thomas A Murray1, Anne Eaton1
1Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota, USA.
Statistics in medicine
|October 18, 2024
概括
本研究引入了一种适应性试验设计,用于选择最佳生物剂量 (OBD),当它可能在患者子组之间有所不同时. 新的贝叶斯方法有效地识别了特定子组或常见的OBD,提高了剂量检测研究的精度.
科学领域:
- 临床试验设计 临床试验设计
- 生物统计学 生物统计学
- 药理学 药理学是指药理学的学科.
背景情况:
- 确定最佳生物剂量 (OBD) 对药物开发至关重要.
- 患者群体可能表现出异质性,导致特定亚组的剂量反应关系.
- 现有的剂量确定设计可能无法优化处理子组效应的不确定性.
研究的目的:
- 为最佳生物剂量 (OBD) 选择提出一种新的I/II期试验设计.
- 为了适应OBD可能在两个预先指定的患者子组之间存在差异的场景.
- 提供灵活的设计,适应新出现的关于子组效应的试验数据.
主要方法:
- 使用实用功能来平衡有效性和毒性权衡.
- 使用贝叶斯模型与尖峰和板块先验来估计子组对毒性和疗效的影响.
- 进行模拟研究以评估拟议设计的性能.
主要成果:
- 拟议的设计表现出强的性能,与不同假设下的专业设计相美.
- 它的表现几乎与忽视子组的表现一样好,当关系在各组之间相似时.
- 当关系不同时,它几乎和独立的子组剂量发现一样好.
结论:
- 适应性设计有效地确定最佳生物剂量 (OBD),即使对子组差异的不确定性.
- 这种方法为异质患者群体的剂量发现提供了强大的策略.
- 该设计提供了一个统一的框架,用于选择通用或特定子组的OBD.
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