联合时间到事件的部分顺序连续重新评估方法和联合时间到事件的贝叶斯逻辑回归模型:双重剂I/II期剂量发现研究的统计设计,具有晚发症毒性和活性结果
Helen Barnett1, Oliver Boix2, Dimitris Kontos2
1Lancaster University, Lancaster, UK.
Statistical methods in medical research
|December 5, 2025
概括
本研究引入了基于双剂剂量检测试验的新型模型设计,重点关注晚发症的安全性和活性. 这些新方法,联合时间到事件 (TITE) 部分顺序持续重新评估方法和联合TITE贝叶斯逻辑回归模型,优于传统方法.
科学领域:
- 临床试验方法论 临床试验方法论
- 生物统计学 生物统计学
- 药学指标 (Pharmacometrics) 是一个指标.
背景情况:
- 双剂剂量检测试验旨在在I/II阶段设置中确定最大耐受剂量组合 (MTDC) 和最佳生物剂量 (OBD).
- 瘤学治疗通常涉及多个周期,导致晚期出现的安全性和活动结果.
- 现有的剂量确定设计可能无法充分解决双剂研究中晚期发病结果的复杂性.
研究的目的:
- 建议和评估基于新型模型的设计,用于结合晚发性毒性和活性的双剂剂剂量确定研究.
- 将这些新设计的性能与使用全面模拟的模型辅助比较器进行比较.
- 调查不同剂量网格对研究设计性能的影响.
主要方法:
- 开发了两个基于模型的设计:联合时间到事件 (TITE) 部分顺序连续重新评估方法和联合TITE贝叶斯逻辑回归模型.
- 通过全面的模拟研究进行性能评估,包括真实试验示例.
- 在各种场景和剂量网格大小中与模型辅助设计进行比较.
主要成果:
- 与模型辅助设计相比,两种拟议的基于模型的设计都表现出优异的性能.
- 平均而言,这两种基于模型的方法显示了可比的结果,尽管这种一致性在不同的场景中有所不同.
- 模拟研究提供了对新设计的稳定性和有效性的见解.
结论:
- 拟议的联合TITE方法为双剂剂量检测试验提供了改进的方法,结果较晚出现.
- 在这种情况下,基于模型的设计比模型辅助的设计更有效.
- 需要进一步的研究,以了解不同临床试验场景中可比性的细微差别.
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