213 related articles for article (PubMed ID: 35662623)
1. Avoiding overadjustment bias in social epidemiology through appropriate covariate selection: a primer.
van Zwieten A; Tennant PWG; Kelly-Irving M; Blyth FM; Teixeira-Pinto A; Khalatbari-Soltani S
J Clin Epidemiol; 2022 Sep; 149():127-136. PubMed ID: 35662623
[TBL] [Abstract][Full Text] [Related]
2. Overadjustment bias in systematic reviews and meta-analyses of socio-economic inequalities in health: a meta-research scoping review.
van Zwieten A; Dai J; Blyth FM; Wong G; Khalatbari-Soltani S
Int J Epidemiol; 2024 Feb; 53(1):. PubMed ID: 38129958
[TBL] [Abstract][Full Text] [Related]
3. Overadjustment bias and unnecessary adjustment in epidemiologic studies.
Schisterman EF; Cole SR; Platt RW
Epidemiology; 2009 Jul; 20(4):488-95. PubMed ID: 19525685
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. [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]
7. Using Causal Diagrams to Improve the Design and Interpretation of Medical Research.
Etminan M; Collins GS; Mansournia MA
Chest; 2020 Jul; 158(1S):S21-S28. PubMed ID: 32658648
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. A review of covariate selection for non-experimental comparative effectiveness research.
Sauer BC; Brookhart MA; Roy J; VanderWeele T
Pharmacoepidemiol Drug Saf; 2013 Nov; 22(11):1139-45. PubMed ID: 24006330
[TBL] [Abstract][Full Text] [Related]
11. Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics.
Ananth CV; Schisterman EF
Am J Obstet Gynecol; 2017 Aug; 217(2):167-175. PubMed ID: 28427805
[TBL] [Abstract][Full Text] [Related]
12. Model Averaging for Improving Inference from Causal Diagrams.
Hamra GB; Kaufman JS; Vahratian A
Int J Environ Res Public Health; 2015 Aug; 12(8):9391-407. PubMed ID: 26270672
[TBL] [Abstract][Full Text] [Related]
13. Response to letter to the editor from Dr Rahman Shiri: The challenging topic of suicide across occupational groups.
Niedhammer I; Milner A; Witt K; Klingelschmidt J; Khireddine-Medouni I; Alexopoulos EC; Toivanen S; Chastang JF; LaMontagne AD
Scand J Work Environ Health; 2018 Jan; 44(1):108-110. PubMed ID: 29218357
[TBL] [Abstract][Full Text] [Related]
14. Causal directed acyclic graphs and the direction of unmeasured confounding bias.
VanderWeele TJ; Hernán MA; Robins JM
Epidemiology; 2008 Sep; 19(5):720-8. PubMed ID: 18633331
[TBL] [Abstract][Full Text] [Related]
15. Introduction to causal diagrams for confounder selection.
Williamson EJ; Aitken Z; Lawrie J; Dharmage SC; Burgess JA; Forbes AB
Respirology; 2014 Apr; 19(3):303-11. PubMed ID: 24447391
[TBL] [Abstract][Full Text] [Related]
16. Constructing Causal Diagrams for Common Perinatal Outcomes: Benefits, Limitations and Motivating Examples with Maternal Antidepressant Use in Pregnancy.
Bandoli G; Palmsten K; Flores KF; Chambers CD
Paediatr Perinat Epidemiol; 2016 Sep; 30(5):521-8. PubMed ID: 27160789
[TBL] [Abstract][Full Text] [Related]
17. Causal Knowledge as a Prerequisite for Interrogating Bias: Reflections on Hernán et al. 20 Years Later.
Levy NS; Keyes KM
Am J Epidemiol; 2023 Nov; 192(11):1797-1800. PubMed ID: 34791035
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Causal Diagram Techniques for Urologic Oncology Research.
Shapiro DD; Msaouel P
Clin Genitourin Cancer; 2021 Jun; 19(3):271.e1-271.e7. PubMed ID: 32893127
[TBL] [Abstract][Full Text] [Related]
20. Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation.
Stockham N; Washington P; Chrisman B; Paskov K; Jung JY; Wall DP
JMIR Public Health Surveill; 2022 Jul; 8(7):e31306. PubMed ID: 35605128
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
