157 related articles for article (PubMed ID: 34791035)
1. 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]
2. Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable.
Elwert F; Winship C
Annu Rev Sociol; 2014 Jul; 40():31-53. PubMed ID: 30111904
[TBL] [Abstract][Full Text] [Related]
3. "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]
4. Invited Commentary: Selection Bias Without Colliders.
Hernán MA
Am J Epidemiol; 2017 Jun; 185(11):1048-1050. PubMed ID: 28535177
[TBL] [Abstract][Full Text] [Related]
5. Selection Bias with Outcome-dependent Sampling.
Sjölander A
Epidemiology; 2023 Mar; 34(2):186-191. PubMed ID: 36722800
[TBL] [Abstract][Full Text] [Related]
6. Limits for the Magnitude of M-bias and Certain Other Types of Structural Selection Bias.
Flanders WD; Ye D
Epidemiology; 2019 Jul; 30(4):501-508. PubMed ID: 31033689
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Healthcare utilization is a collider: an introduction to collider bias in EHR data reuse.
Weiskopf NG; Dorr DA; Jackson C; Lehmann HP; Thompson CA
J Am Med Inform Assoc; 2023 Apr; 30(5):971-977. PubMed ID: 36752649
[TBL] [Abstract][Full Text] [Related]
9. Errors in causal inference: an organizational schema for systematic error and random error.
Suzuki E; Tsuda T; Mitsuhashi T; Mansournia MA; Yamamoto E
Ann Epidemiol; 2016 Nov; 26(11):788-793.e1. PubMed ID: 27771142
[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. Reflection on modern methods: causal inference considerations for heterogeneous disease etiology.
Nevo D; Ogino S; Wang M
Int J Epidemiol; 2021 Jul; 50(3):1030-1037. PubMed ID: 33484125
[TBL] [Abstract][Full Text] [Related]
12. COVID-19 and the epistemology of epidemiological models at the dawn of AI.
Ellison GTH
Ann Hum Biol; 2020 Sep; 47(6):506-513. PubMed ID: 33228409
[TBL] [Abstract][Full Text] [Related]
13. 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]
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. 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]
16. 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]
17. Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: A use case studying depression as a risk factor for Alzheimer's disease.
Malec SA; Taneja SB; Albert SM; Elizabeth Shaaban C; Karim HT; Levine AS; Munro P; Callahan TJ; Boyce RD
J Biomed Inform; 2023 Jun; 142():104368. PubMed ID: 37086959
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Educational Note: Paradoxical collider effect in the analysis of non-communicable disease epidemiological data: a reproducible illustration and web application.
Luque-Fernandez MA; Schomaker M; Redondo-Sanchez D; Jose Sanchez Perez M; Vaidya A; Schnitzer ME
Int J Epidemiol; 2019 Apr; 48(2):640-653. PubMed ID: 30561628
[TBL] [Abstract][Full Text] [Related]
20. Invited Commentary: Beware the Test-Negative Design.
Westreich D; Hudgens MG
Am J Epidemiol; 2016 Sep; 184(5):354-6. PubMed ID: 27587722
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
