在使用贝叶斯时间到事件模型与活性比较器的紧急医疗疾病早期剂量范围临床试验中改进了死亡率分析
Xiaosong Shi1, Jo A Wick1, Renee' L Martin2
1Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas, USA.
Statistics in medicine
|June 17, 2024
概括
新贝叶斯模型在早期临床试验中改善了紧急医疗疾病 (EMD) 的死亡时间分析. 这些模型提供了更好的风险评估和治疗效果评估,以改变死亡率模式的条件.
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
- 药学指标 (Pharmacometrics) 是一个指标.
背景情况:
- 紧急医疗疾病 (EMD) 是全球主要的死亡原因.
- 准确的死亡时间分析对于了解EMD风险模式至关重要,因为死亡率可能会波动.
- 目前的剂量检测试验往往忽略了时间到事件死亡率分析.
研究的目的:
- 为临床试验中的二次死亡率分析提出新的贝叶斯剂量-响应-时间到事件模型.
- 用模拟数据对这些新模型的性能与现有方法进行评估.
主要方法:
- 开发了三种贝叶斯剂量反应时间到事件模型:两组,EMAX和层次式EMAX.
- 将一个活跃的比较器纳入三个额外的模型中.
- 通过II期创伤性脑损伤试验的模拟数据,评估了六个拟议模型和一个独立模型.
主要成果:
- 具有主动比较器的三组,EMAX和EMAX模型表现出卓越的性能.
- 这些模型产生了最小的平均平均平方误差和平均绝对偏差.
- 带有活跃比较器的EMAX模型对时间变化的死亡风险特别有希望.
结论:
- 引入了一种新的方法,用于EMD的早期阶段剂量范围临床试验中的时间到事件死亡率分析.
- 带有活跃比较器的EMAX模型为具有动态死亡率的条件提供了有价值的见解.
- 建议限制平均存活时间,以便在EMD研究中可视化治疗效应.
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