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在药物监管中,用于相容效应估计和假设测试的P值组合函数
Samuel Pawel1, Małgorzata Roos1, Leonhard Held1
1Epidemiology, Biostatistics and Prevention Institute (EBPI), Center for Reproducible Science (CRS), University of Zurich, Zurich, Switzerland.
药物监管 药物监管 药物监管
科学领域:
- 生物统计学 生物统计学
- 制药指标 (Pharmacometrics) 是一个指标.
- 监管科学 监管科学
背景情况:
- 药物疗效的两项试验规则要求进行两项重要的试验.
- 结合来自多个试验的效果估计是复杂的.
- 固定效果的元分析可能会产生误导性的置信区间.
研究的目的:
- 将两次试验规则和元分析统一在一个结合的p值框架内.
- 为了导出兼容的p值,效果估计和置信区间.
- 为了评估两个试验的不同p值组合方法.
主要方法:
- 重构两个试验规则和使用组合的p值函数进行元分析.
- 导出p值,效果估计和置信区间的封闭式解决方案.
- 分析威尔金森,斯托弗,埃吉顿,费舍尔,皮尔森和蒂佩特的方法.
主要成果:
- 当试验具有相同的效果时,所有方法都一致估计了真实效果,尽管偏差有所不同.
- 当真实效应分歧时,方法在趋同上有所不同:保守 (皮尔森的),反保守 (费舍尔的,蒂佩特的) 和平衡 (埃奇顿的,元分析).
- 埃吉顿的置信区间包括个别试验效应,与元分析区间不同.
结论:
- 选择的方法取决于具体的估计和兴趣.
- 所有分析的方法都适合将两项试验的结果结合起来.
- R包"双试验"有助于测试兼容的假设和估计效果.
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