Directed acyclic graphs in clinical research-Reference-Cited by-同舟云学术

Directed acyclic graphs in clinical research

Published:2024-03-26 Issue:4 Volume:190 Page:E5-E7
ISSN:0804-4643
Container-title:European Journal of Endocrinology
language:en
Short-container-title:

Author:

Dekkers Olaf M¹²³^ORCID,Laugesen Kristina²⁴,Groenwold Rolf H H¹⁵^ORCID

Affiliation:

1. Department of Clinical Epidemiology, Leiden University Medical Center , 2300RC Leiden , The Netherlands

2. Department of Clinical Epidemiology, Aarhus University, Aarhus University Hospital , 8200 Aarhus , Denmark

3. Department of Endocrinology, Leiden University Medical Center , 2300RC Leiden , The Netherlands

4. Department of Clinical Biochemistry, Aarhus University Hospital , 8200 Aarhus , Denmark

5. Department of Biomedical Data Sciences, Leiden University Medical Center , 2300RC Leiden , The Netherlands

Abstract

Abstract Directed acyclic graphs (DAGs), or causal diagrams, are graphical representations of causal structures that can be used in medical research to understand and illustrate potential bias, including bias arising from confounding, selection, and misclassification. Further, they provide guidance for researchers about how to address a potential bias.

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/ejendo/advance-article-pdf/doi/10.1093/ejendo/lvae032/57089305/lvae032.pdf

Reference4 articles.

1. Tutorial on directed acyclic graphs;Digitale;J Clin Epidemiol,2022

2. A structural approach to selection bias;Hernán;Epidemiology,2004

3. METHODOLOGY FOR THE ENDOCRINOLOGIST: basic aspects of confounding adjustment;Groenwold;Eu J Endocrinol,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ten things to remember about propensity scores;European Journal of Endocrinology;2024-06-14