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本文引用的文献

1
Measurement error and information bias in causal diagrams: mapping epidemiological concepts and graphical structures.因果图中的测量误差和信息偏倚：映射流行病学概念和图形结构。
Int J Epidemiol. 2024 Oct 13;53(6). doi: 10.1093/ije/dyae141.
2
Leveraging External Validation Data: The Challenges of Transporting Measurement Error Parameters.利用外部验证数据：传输测量误差参数的挑战。
Epidemiology. 2024 Mar 1;35(2):196-207. doi: 10.1097/EDE.0000000000001701. Epub 2023 Jan 30.
3
A Framework for Descriptive Epidemiology.描述性流行病学框架。
Am J Epidemiol. 2022 Nov 19;191(12):2063-2070. doi: 10.1093/aje/kwac115.
4
Approaches to addressing missing values, measurement error, and confounding in epidemiologic studies.处理流行病学研究中缺失值、测量误差和混杂的方法。
J Clin Epidemiol. 2021 Mar;131:89-100. doi: 10.1016/j.jclinepi.2020.11.006. Epub 2020 Nov 8.
5
Start With the "C-Word," Follow the Roadmap for Causal Inference.从“因果关系”这个词入手，遵循因果推断的路线图。
Am J Public Health. 2018 May;108(5):621. doi: 10.2105/AJPH.2018.304358.
6
All your data are always missing: incorporating bias due to measurement error into the potential outcomes framework.你所有的数据总是缺失：将测量误差导致的偏差纳入潜在结果框架。
Int J Epidemiol. 2015 Aug;44(4):1452-9. doi: 10.1093/ije/dyu272. Epub 2015 Apr 28.
7
Invited Commentary: Causal diagrams and measurement bias.特邀评论：因果图与测量偏倚
Am J Epidemiol. 2009 Oct 15;170(8):959-62; discussion 963-4. doi: 10.1093/aje/kwp293. Epub 2009 Sep 15.
8
A renaissance for measurement error.测量误差的复兴。
Int J Epidemiol. 2001 Jun;30(3):421-2. doi: 10.1093/ije/30.3.421.
9
Data, design, and background knowledge in etiologic inference.病因推断中的数据、设计与背景知识。
Epidemiology. 2001 May;12(3):313-20. doi: 10.1097/00001648-200105000-00011.

Applying causal diagrams with measurement error: an outline and further considerations.

作者信息

Rudolph Jacqueline E, Ross Rachael K

机构信息

Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.

Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States.

出版信息

Int J Epidemiol. 2025 Apr 12;54(3). doi: 10.1093/ije/dyaf070.

DOI:10.1093/ije/dyaf070
PMID:40461102
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12133281/
Abstract
摘要