238 related articles for article (PubMed ID: 35124197)
1. DAG With Omitted Objects Displayed (DAGWOOD): a framework for revealing causal assumptions in DAGs.
Haber NA; Wood ME; Wieten S; Breskin A
Ann Epidemiol; 2022 Apr; 68():64-71. PubMed ID: 35124197
[TBL] [Abstract][Full Text] [Related]
2. [Directed acyclic graphs (DAGs) - the application of causal diagrams in epidemiology].
Schipf S; Knüppel S; Hardt J; Stang A
Gesundheitswesen; 2011 Dec; 73(12):888-92. PubMed ID: 22193898
[TBL] [Abstract][Full Text] [Related]
3. Testing Graphical Causal Models Using the R Package "dagitty".
Ankan A; Wortel IMN; Textor J
Curr Protoc; 2021 Feb; 1(2):e45. PubMed ID: 33592130
[TBL] [Abstract][Full Text] [Related]
4. Evidence synthesis for constructing directed acyclic graphs (ESC-DAGs): a novel and systematic method for building directed acyclic graphs.
Ferguson KD; McCann M; Katikireddi SV; Thomson H; Green MJ; Smith DJ; Lewsey JD
Int J Epidemiol; 2020 Feb; 49(1):322-329. PubMed ID: 31325312
[TBL] [Abstract][Full Text] [Related]
5. Combining directed acyclic graphs and the change-in-estimate procedure as a novel approach to adjustment-variable selection in epidemiology.
Evans D; Chaix B; Lobbedez T; Verger C; Flahault A
BMC Med Res Methodol; 2012 Oct; 12():156. PubMed ID: 23058038
[TBL] [Abstract][Full Text] [Related]
6. Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations.
Tennant PWG; Murray EJ; Arnold KF; Berrie L; Fox MP; Gadd SC; Harrison WJ; Keeble C; Ranker LR; Textor J; Tomova GD; Gilthorpe MS; Ellison GTH
Int J Epidemiol; 2021 May; 50(2):620-632. PubMed ID: 33330936
[TBL] [Abstract][Full Text] [Related]
7. Causal inference in cumulative risk assessment: The roles of directed acyclic graphs.
Brewer LE; Wright JM; Rice G; Neas L; Teuschler L
Environ Int; 2017 May; 102():30-41. PubMed ID: 27988137
[TBL] [Abstract][Full Text] [Related]
8. [Causal Inference in Medicine Part II. Directed acyclic graphs--a useful method for confounder selection, categorization of potential biases, and hypothesis specification].
Suzuki E; Komatsu H; Yorifuji T; Yamamoto E; Doi H; Tsuda T
Nihon Eiseigaku Zasshi; 2009 Sep; 64(4):796-805. PubMed ID: 19797848
[TBL] [Abstract][Full Text] [Related]
9. Software Application Profile: The daggle app-a tool to support learning and teaching the graphical rules of selecting adjustment variables using directed acyclic graphs.
Hanly M; Brew BK; Austin A; Jorm L
Int J Epidemiol; 2023 Oct; 52(5):1659-1664. PubMed ID: 36952629
[TBL] [Abstract][Full Text] [Related]
10. Causal Diagrams: Pitfalls and Tips.
Suzuki E; Shinozaki T; Yamamoto E
J Epidemiol; 2020 Apr; 30(4):153-162. PubMed ID: 32009103
[TBL] [Abstract][Full Text] [Related]
11. "Toward a clearer definition of confounding" revisited with directed acyclic graphs.
Howards PP; Schisterman EF; Poole C; Kaufman JS; Weinberg CR
Am J Epidemiol; 2012 Sep; 176(6):506-11. PubMed ID: 22904203
[TBL] [Abstract][Full Text] [Related]
12. Directed Acyclic Graphs for Oral Disease Research.
Akinkugbe AA; Sharma S; Ohrbach R; Slade GD; Poole C
J Dent Res; 2016 Jul; 95(8):853-9. PubMed ID: 27000052
[TBL] [Abstract][Full Text] [Related]
13. Can we believe the DAGs? A comment on the relationship between causal DAGs and mechanisms.
Aalen OO; Røysland K; Gran JM; Kouyos R; Lange T
Stat Methods Med Res; 2016 Oct; 25(5):2294-2314. PubMed ID: 24463886
[TBL] [Abstract][Full Text] [Related]
14. The tale wagged by the DAG: broadening the scope of causal inference and explanation for epidemiology.
Krieger N; Davey Smith G
Int J Epidemiol; 2016 Dec; 45(6):1787-1808. PubMed ID: 27694566
[TBL] [Abstract][Full Text] [Related]
15. Robust causal inference using directed acyclic graphs: the R package 'dagitty'.
Textor J; van der Zander B; Gilthorpe MS; Liskiewicz M; Ellison GT
Int J Epidemiol; 2016 Dec; 45(6):1887-1894. PubMed ID: 28089956
[TBL] [Abstract][Full Text] [Related]
16. A directed acyclic graph for interactions.
Nilsson A; Bonander C; Strömberg U; Björk J
Int J Epidemiol; 2021 May; 50(2):613-619. PubMed ID: 33221880
[TBL] [Abstract][Full Text] [Related]
17. Directed acyclic graphs in perioperative observational research-A systematic review and critique against best practice recommendations.
Watson ML; Hickman SHM; Dreesbeimdiek KM; Kohler K; Stubbs DJ
PLoS One; 2023; 18(2):e0281259. PubMed ID: 36758007
[TBL] [Abstract][Full Text] [Related]
18. Conceptual framework for investigating causal effects from observational data in livestock.
Bello NM; Ferreira VC; Gianola D; Rosa GJM
J Anim Sci; 2018 Sep; 96(10):4045-4062. PubMed ID: 30107524
[TBL] [Abstract][Full Text] [Related]
19. Tutorial on directed acyclic graphs.
Digitale JC; Martin JN; Glymour MM
J Clin Epidemiol; 2022 Feb; 142():264-267. PubMed ID: 34371103
[TBL] [Abstract][Full Text] [Related]
20. Directed acyclic graphs and causal thinking in clinical risk prediction modeling.
Piccininni M; Konigorski S; Rohmann JL; Kurth T
BMC Med Res Methodol; 2020 Jul; 20(1):179. PubMed ID: 32615926
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]