Graphical presentation of confounding in directed acyclic graphs.
Nephrol Dial Transplant. 2015.
PMID: 25324358
Review.
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Graphical presentation of confounding in directed acyclic graphs.
Nephrol Dial Transplant. 2015 Sep;30(9):1418-23. doi: 10.1093/ndt/gfu325. Epub 2014 Oct 16.
Nephrol Dial Transplant. 2015.
PMID: 25324358
Review.
Since confounding obscures the real effect of the exposure, it is important to adequately address confounding for making valid causal inferences from observational data. Directed acyclic graphs (DAGs) are visual representations of causal assumpt …
Since confounding obscures the real effect of the exposure, it is important to adequately address confounding for making valid …
Directed acyclic graphs: a tool for causal studies in paediatrics.
Pediatr Res. 2018 Oct;84(4):487-493. doi: 10.1038/s41390-018-0071-3. Epub 2018 Jun 4.
Pediatr Res. 2018.
PMID: 29967527
Free PMC article.
Review.
How does breastfeeding affect later cognitive outcomes? In this review, we present causal directed acyclic graphs (DAGs) to a paediatric audience. DAGs are a graphical tool which provide a way to visually represent and better understand the key …
How does breastfeeding affect later cognitive outcomes? In this review, we present causal directed acyclic graphs …
Using directed acyclic graphs to guide analyses of neighbourhood health effects: an introduction.
J Epidemiol Community Health. 2008 Sep;62(9):842-6. doi: 10.1136/jech.2007.067371.
J Epidemiol Community Health. 2008.
PMID: 18701738
Review.
BACKGROUND: Directed acyclic graphs, or DAGs, are a useful graphical tool in epidemiologic research that can help identify appropriate analytical strategies in addition to potential unintended consequences of commonly used methods such as conditioning …
BACKGROUND: Directed acyclic graphs, or DAGs, are a useful graphical tool in epidemiologic research that can hel …
Using Directed Acyclic Graphs to detect limitations of traditional regression in longitudinal studies.
Int J Public Health. 2010 Dec;55(6):701-3. doi: 10.1007/s00038-010-0184-x. Epub 2010 Sep 14.
Int J Public Health. 2010.
PMID: 20838848
OBJECTIVES: We review confounding and mediation in a longitudinal setting and introduce causal graphs to explain the bias that arises from conventional analyses. CONCLUSIONS: When both time-varying confounding and mediation are present in the data, tra …
OBJECTIVES: We review confounding and mediation in a longitudinal setting and introduce causal graphs to explain the bias that …
Software Application Profile: The daggle app-a tool to support learning and teaching the graphical rules of selecting adjustment variables using directed acyclic graphs.
Int J Epidemiol. 2023 Oct 5;52(5):1659-1664. doi: 10.1093/ije/dyad038.
Int J Epidemiol. 2023.
PMID: 36952629
Free PMC article.
MOTIVATION: Directed acyclic graphs (DAGs) are used in epidemiological research to communicate causal assumptions and guide the selection of covariate adjustment sets when estimating causal effects. ...GENERAL FEATURES: The application offers two modes: tutor …
MOTIVATION: Directed acyclic graphs (DAGs) are used in epidemiological research to communicate causal assumptions and g …
Combining directed acyclic graphs and the change-in-estimate procedure as a novel approach to adjustment-variable selection in epidemiology.
BMC Med Res Methodol. 2012 Oct 11;12:156. doi: 10.1186/1471-2288-12-156.
BMC Med Res Methodol. 2012.
PMID: 23058038
Free PMC article.
BACKGROUND: Directed acyclic graphs (DAGs) are an effective means of presenting expert-knowledge assumptions when selecting adjustment variables in epidemiology, whereas the change-in-estimate procedure is a common statistics-based approach. ...RESULTS …
BACKGROUND: Directed acyclic graphs (DAGs) are an effective means of presenting expert-knowledge assumptions whe …
Identifiability of causal effects in test-negative design studies.
Int J Epidemiol. 2023 Dec 25;52(6):1968-1974. doi: 10.1093/ije/dyad102.
Int J Epidemiol. 2023.
PMID: 37451683
Causal directed acyclic graphs (DAGs) are often used to select variables in a regression model to identify causal effects. Outcome-based sampling studies, such as the 'test-negative design' used to assess vaccine effectiveness, present unique challenge …
Causal directed acyclic graphs (DAGs) are often used to select variables in a regression model to identify causal effec …
The discovery of a data-driven causal diagram of sport participation in children and adolescents with heart disease: a pilot study.
Front Cardiovasc Med. 2023 Nov 21;10:1247122. doi: 10.3389/fcvm.2023.1247122. eCollection 2023.
Front Cardiovasc Med. 2023.
PMID: 38075979
Free PMC article.
The Greedy Fast Causal Inference method was employed to conduct a data-driven search of the directed acyclic graph that represents the causal relationships within the provided observational data. ...Clinical trials should be designed to validate clinical util …
The Greedy Fast Causal Inference method was employed to conduct a data-driven search of the directed acyclic graph that …
Structure and Control of Healthy Worker Effects in Studies of Pregnancy Outcomes.
Am J Epidemiol. 2019 Mar 1;188(3):562-569. doi: 10.1093/aje/kwy277.
Am J Epidemiol. 2019.
PMID: 30576409
Three pregnancy-specific healthy worker effects have also been described, but the structure of these effects has not yet been investigated when occupational exposure, and not employment status, is the exposure of interest. We used directed acyclic graphs to e …
Three pregnancy-specific healthy worker effects have also been described, but the structure of these effects has not yet been investigated w …
Pre-gestational overweight and polyunsaturated fatty acids in human milk: theoretical causality model.
Cien Saude Colet. 2024 Feb;29(2):e10752022. doi: 10.1590/1413-81232024292.10752022. Epub 2023 Jun 9.
Cien Saude Colet. 2024.
PMID: 38324828
Free article.
Review.
English, Portuguese.
However, given the complexity of potentially confounding risk factors, the use of graphical tools is recommended to identify possible biases. This article aims to propose a theoretical model of causality using the directed acyclic graph between …
However, given the complexity of potentially confounding risk factors, the use of graphical tools is recommended to identify p …
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