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经验概率 绝对风险的比较
Paul Blanche1, Frank Eriksson1
1Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark.
Biometrical journal. Biometrische Zeitschrift
|December 18, 2025
概括
本研究引入了一种经验概率方法,用于估计竞争性风险设置中的绝对风险. 这种方法提供了更准确的小样本推断和风险差异和风险比率之间的一致比较.
科学领域:
- 生物统计学 生物统计学
- 生存分析的分析.
- 统计推理 统计推理
背景情况:
- 在竞争性风险设置中,估计t年绝对风险或累积发病率函数至关重要.
- 标准非参数的阿伦-约翰森估计器虽然对大样本具有强度,但在小样本性能方面存在局限性.
- 不准确的信任区间覆盖和风险差异和风险比率之间的不一致结论是值得注意的问题.
研究的目的:
- 引入一种替代的经验概率方法来估计竞争性风险中的绝对风险.
- 为了解决小样本场景中Aalen-Johansen估计器的局限性.
- 在使用风险差异和风险比率来比较绝对风险时,确保统计学意义结论的一致性.
主要方法:
- 开发了一种经验概率方法,用于绝对风险估计.
- 用于受约束的非参数最大概率估计 (NPMLE) 的衍生公式和算法.
- 实施了R包"timeEL"中的新方法,以便在实践中应用.
主要成果:
- 经验概率方法为风险差异和风险比率比较提供了一致的结论.
- 与传统方法相比,模拟研究表明小样本推断的准确性有所提高.
- 使用这种方法可以计算置信区间和p值,这些方法得到了非对称性属性的支持.
结论:
- 拟议的经验概率方法为绝对风险估计和竞争风险的比较提供了更可靠的替代方案.
- 这种方法提高了在小样本大小的统计推理的准确性.
- "timeEL" R包方便了这种方法的应用,通过骨髓移植数据分析证明了这一点.
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