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从嵌套的病例控制研究中汇集控制与比例风险模型
Yen Chang1, Anastasia Ivanova1, Demetrius Albanes2
1Department of Biostatistics, University of North Carolina, 135 Dauer Drive, Chapel Hill,North Carolina 27599, USA.
Biostatistics (Oxford, England)
|September 10, 2024
概括
这项研究通过将Lunn和McNeil的比例危险方法扩展到嵌套的病例控制研究来增强对竞争风险的回归建模. 这种方法在嵌套病例控制分析中为罕见的故障类型提供了显著的效率增长.
科学领域:
- 生物统计学 生物统计学
- 流行病学 流行病学
- 生存分析的分析.
背景情况:
- 对竞争性风险的标准回归使用每个原因的单独模型.
- 伦和麦克尼尔 (1995) 的方法假设效率和因果交叉比较的因果特异性危险是相称的.
- 将这种比例危险模型扩展到嵌套的病例控制研究对于复杂的数据至关重要.
研究的目的:
- 将Lunn和McNeil (1995) 的比例危险模型扩展到嵌套的病例控制研究.
- 为了适应竞争风险数据中的额外匹配和不相称性.
- 与全队列分析相比,评估嵌套病例控制分析中的效率增长.
主要方法:
- 应用扩展的伦和麦克尼尔比例危险模型.
- 在嵌套案例控制设计中分析潜在的竞争风险数据.
- 纳入处理不成比例的方法和来自多项研究的数据在一个队列内.
主要成果:
- 在完整的队列分析中观察到适度的效率增长.
- 嵌套案例对照分析表明了显著的效率增长,特别是对于罕见的故障类型.
- 通过广泛的模拟研究和来自前列腺,肺部,结肠直肠和卵巢癌查试验 (PLCO) 的现实世界的数据进行验证.
结论:
- 扩展的Lunn和McNeil模型提供了一种有效的方法来分析嵌套病例控制研究中的竞争风险.
- 这种方法对罕见事件特别有益,提高了统计能力.
- 这些发现支持在涉及复杂生存数据的流行病学研究中使用这种扩展模型.
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