计算2期剂量确定研究的样本大小,以获得可靠的3期剂量选择.
Fang Liu1, Qing Zhao1, Anthony J Rodgers1
1Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, New Jersey, USA.
Pharmaceutical statistics
|August 8, 2023
概括
传统的第二阶段研究样本大小缺乏精确选择第三阶段剂量. 本研究提出了一种用于剂量确定研究的新样本大小计算方法,提高了目标剂量识别的精度.
科学领域:
- 生物统计学 生物统计学
- 临床试验设计 临床试验设计
- 制药指标 (Pharmacometrics) 是一个指标.
背景情况:
- 第二阶段的剂量检测研究通常使用基于功率的样本大小来检测剂量反应,这对于精确的第三阶段目标剂量选择是不够的.
- 现有的方法可能无法保证为选择后续临床试验的最佳剂量所需的准确性.
研究的目的:
- 提出一种新的方法来计算在第二阶段剂量检测研究中的样本大小.
- 为了提高3期研究的目标剂量选择的精度.
主要方法:
- 使用多重比较和建模程序 (MCP-Mod) 来计算样本大小.
- 专注于确定目标剂量在定义的可接受范围内 (例如80%-120%) 的概率.
- 比较不同的2期剂量检测研究设计选项.
主要成果:
- 拟议的方法提供了一种更精确的方法来计算剂量确定研究中的样本大小.
- 建议进行灵敏度分析,以确保对模型假设偏差的稳定性.
- 通过假设的第二阶段研究规划来说明应用程序.
结论:
- MCP-Mod方法为第2阶段剂量检测样本大小的确定提供了更高的精度.
- 这种方法有助于为第三阶段的目标剂量选择做出更明智的决定.
- 该研究提供了可访问的代码,用于实施拟议的方法.
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