297 related articles for article (PubMed ID: 30836237)
1. Directed acyclic graphs: An under-utilized tool for child maltreatment research.
Austin AE; Desrosiers TA; Shanahan ME
Child Abuse Negl; 2019 May; 91():78-87. PubMed ID: 30836237
[TBL] [Abstract][Full Text] [Related]
2. Reducing bias in pelvic floor disorders research: using directed acyclic graphs as an aid.
Sung VW
Neurourol Urodyn; 2012 Jan; 31(1):115-20. PubMed ID: 21826724
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
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. [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]
7. 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]
8. 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]
9. Using directed acyclic graphs to guide analyses of neighbourhood health effects: an introduction.
Fleischer NL; Diez Roux AV
J Epidemiol Community Health; 2008 Sep; 62(9):842-6. PubMed ID: 18701738
[TBL] [Abstract][Full Text] [Related]
10. [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]
11. 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]
12. Reducing bias through directed acyclic graphs.
Shrier I; Platt RW
BMC Med Res Methodol; 2008 Oct; 8():70. PubMed ID: 18973665
[TBL] [Abstract][Full Text] [Related]
13. Directed acyclic graphs (DAGs): an aid to assess confounding in dental research.
Merchant AT; Pitiphat W
Community Dent Oral Epidemiol; 2002 Dec; 30(6):399-404. PubMed ID: 12453109
[TBL] [Abstract][Full Text] [Related]
14. Directed acyclic graphs: a tool for causal studies in paediatrics.
Williams TC; Bach CC; Matthiesen NB; Henriksen TB; Gagliardi L
Pediatr Res; 2018 Oct; 84(4):487-493. PubMed ID: 29967527
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Directed Acyclic Graphs in Surgical Research.
Gongola A; Bradshaw JC
J Surg Res; 2023 Feb; 282():285-288. PubMed ID: 36045022
[TBL] [Abstract][Full Text] [Related]
17. An introduction to directed acyclic graphs in trauma research.
Sonis J; Jiang T
Psychol Trauma; 2023 Sep; 15(6):899-905. PubMed ID: 37603024
[TBL] [Abstract][Full Text] [Related]
18. Reflection on modern methods: constructing directed acyclic graphs (DAGs) with domain experts for health services research.
Rodrigues D; Kreif N; Lawrence-Jones A; Barahona M; Mayer E
Int J Epidemiol; 2022 Aug; 51(4):1339-1348. PubMed ID: 35713577
[TBL] [Abstract][Full Text] [Related]
19. [Application of directed acyclic graphs in identifying and controlling confounding bias].
Liu HX; Wang HB; Wang N
Zhonghua Liu Xing Bing Xue Za Zhi; 2020 Apr; 41(4):585-588. PubMed ID: 32344486
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]