Framing Causal Questions in Life Course Epidemiology
Framing Causal Questions in Life Course Epidemiology
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DOI：
10.1146/annurev-statistics-040120-024748
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发表时间：
2022-01-01
影响因子：
7.9
通讯作者：
Pickles, Andrew
中科院分区：
文献类型：
--
作者：
De Stavola, Bianca L.;Herle, Moritz;Pickles, Andrew
我们描述了反事实思维的原则，提供更精确的定义的因果关系的影响，这项工作的方式，因果关系的问题，在生命历程的研究框架和证据评估的影响。术语解释和常见的生命过程分析的例子进行了讨论，重点是曝光的时机，其影响的调解，观察到的和未观察到的混杂因素，和测量误差。举例说明使用单胎和双胞胎队列数据的分析。
We describe the principles of counterfactual thinking in providing more precise definitions of causal effects and some of the implications of this work for the way in which causal questions in life course research are framed and evidence evaluated. Terminology is explained and examples of common life course analyses are discussed that focus on the timing of exposures, the mediation of their effects, observed and unobserved confounders, and measurement error. The examples are illustrated by analyses using singleton and twin cohort data.