在兄弟姐妹分析中超越风险比率:从基于家庭的分析中估计临床有用的措施
Viktor H Ahlqvist1,2, Hugo Sjöqvist3, Arvid Sjölander4
1Department of Biomedicine, Aarhus University, Aarhus, Denmark. viktor.ahlqvist@biomed.au.dk.
European journal of epidemiology
|January 24, 2026
概括
边缘化的内部框架通过估计绝对风险来增强基于家庭的分析,提供比单独的相对措施更容易解释的结果. 这种方法提高了对健康研究中的家庭混的理解.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 公共卫生 公共卫生
背景情况:
- 基于家庭的研究往往仅依赖于相对效应措施 (odds或危险比率).
- 这限制了研究结果的解释性,尤其是在临床和政策应用方面.
- 共同的家庭混会导致传统分析中的结果产生偏见.
研究的目的:
- 引入和展示基于家庭的分析的边缘化内部 (MBW) 框架.
- 为了使绝对风险和临床相关指标的估计.
- 为了更有效地解释共享的家庭混.
主要方法:
- 关于兄弟姐妹比较方法和MBW框架的概述.
- 将MBW模型应用于瑞典登记处关于母亲吸烟和婴儿死亡率的数据.
- 将影响分解为家族内部和家族间的组件,并提供全球基线.
主要成果:
- MBW框架允许估计绝对数量 (累积风险,平均治疗效应,可归因的分数,损害所需的数量).
- 来自MBW模型的绝对指标提供了比单独的相对估计更容易解释和与政策相关的见解.
- MBW模型给出了与条件后勤或分层考克斯回归相似的相对估计,但允许绝对测量.
结论:
- 该框架加强了基于家庭的分析的可解释性.
- 它允许对二进制和时间到事件结果进行绝对和政策相关的估计.
- 这种方法超越了仅仅依赖相对效应措施的局限性.
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