部分确定持续治疗策略的效果。

IF 4.7 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Epidemiology Pub Date : 2024-05-01 Epub Date: 2024-04-18 DOI:10.1097/EDE.0000000000001721
Elizabeth W Diemer, Joy Shi, Sonja A Swanson
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引用次数: 0

摘要

尽管许多流行病学研究侧重于点识别,但也有可能在一致性和数据唯一性的条件下部分识别因果效应。然而,关于所谓 "无假设 "界限的文献主要集中在时间固定的暴露环境中。我们描述了静态和动态持续干预效果的无假设界限。为了直观地说明界限的宽度,我们还讨论了无假设界限与因果效应估算的克隆-张量-加权方法之间的数学联系。这些界限在实践中通常很宽,可以提供重要信息,说明因果分析在多大程度上依赖于研究者所做的无法验证的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Partial Identification of the Effects of Sustained Treatment Strategies.

Although many epidemiologic studies focus on point identification, it is also possible to partially identify causal effects under consistency and the data alone. However, the literature on the so-called "assumption-free" bounds has focused on settings with time-fixed exposures. We describe assumption-free bounds for the effects of both static and dynamic sustained interventions. To provide intuition for the width of the bounds, we also discuss a mathematical connection between assumption-free bounds and clone-censor-weight approaches to causal effect estimation. The bounds, which are often wide in practice, can provide important information about the degree to which causal analyses depend on unverifiable assumptions made by investigators.

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来源期刊
Epidemiology
Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.70
自引率
3.70%
发文量
177
审稿时长
6-12 weeks
期刊介绍: Epidemiology publishes original research from all fields of epidemiology. The journal also welcomes review articles and meta-analyses, novel hypotheses, descriptions and applications of new methods, and discussions of research theory or public health policy. We give special consideration to papers from developing countries.
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