193 related articles for article (PubMed ID: 11138805)
1. Causation of bias: the episcope.
Maclure M; Schneeweiss S
Epidemiology; 2001 Jan; 12(1):114-22. PubMed ID: 11138805
[TBL] [Abstract][Full Text] [Related]
2. Causal diagrams for encoding and evaluation of information bias.
Shahar E
J Eval Clin Pract; 2009 Jun; 15(3):436-40. PubMed ID: 19366394
[TBL] [Abstract][Full Text] [Related]
3. Invited Commentary: Causal diagrams and measurement bias.
Hernán MA; Cole SR
Am J Epidemiol; 2009 Oct; 170(8):959-62; discussion 963-4. PubMed ID: 19755635
[TBL] [Abstract][Full Text] [Related]
4. Biases in Randomized Trials: A Conversation Between Trialists and Epidemiologists.
Mansournia MA; Higgins JP; Sterne JA; Hernán MA
Epidemiology; 2017 Jan; 28(1):54-59. PubMed ID: 27748683
[TBL] [Abstract][Full Text] [Related]
5. Bias Amplification in Epidemiologic Analysis of Exposure to Mixtures.
Weisskopf MG; Seals RM; Webster TF
Environ Health Perspect; 2018 Apr; 126(4):047003. PubMed ID: 29624292
[TBL] [Abstract][Full Text] [Related]
6. On the causal structure of information bias and confounding bias in randomized trials.
Shahar E; Shahar DJ
J Eval Clin Pract; 2009 Dec; 15(6):1214-6. PubMed ID: 20367730
[TBL] [Abstract][Full Text] [Related]
7. [The epidemiologist facing assessment of low risk].
Rylander R
Rev Epidemiol Sante Publique; 1992; 40(6):383-90. PubMed ID: 1287738
[TBL] [Abstract][Full Text] [Related]
8. Can statistic adjustment of OR minimize the potential confounding bias for meta-analysis of case-control study? A secondary data analysis.
Liu T; Nie X; Wu Z; Zhang Y; Feng G; Cai S; Lv Y; Peng X
BMC Med Res Methodol; 2017 Dec; 17(1):179. PubMed ID: 29284414
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Quantifying biases in causal models: classical confounding vs collider-stratification bias.
Greenland S
Epidemiology; 2003 May; 14(3):300-6. PubMed ID: 12859030
[TBL] [Abstract][Full Text] [Related]
11. Bounding formulas for selection bias.
Huang TH; Lee WC
Am J Epidemiol; 2015 Nov; 182(10):868-72. PubMed ID: 26519426
[TBL] [Abstract][Full Text] [Related]
12. Bias and causal associations in observational research.
Grimes DA; Schulz KF
Lancet; 2002 Jan; 359(9302):248-52. PubMed ID: 11812579
[TBL] [Abstract][Full Text] [Related]
13. Confounding in health research.
Greenland S; Morgenstern H
Annu Rev Public Health; 2001; 22():189-212. PubMed ID: 11274518
[TBL] [Abstract][Full Text] [Related]
14. Assessing the impact of unmeasured confounding for binary outcomes using confounding functions.
Kasza J; Wolfe R; Schuster T
Int J Epidemiol; 2017 Aug; 46(4):1303-1311. PubMed ID: 28338913
[TBL] [Abstract][Full Text] [Related]
15. Epidemiologic studies: pitfalls in interpretation.
Westhoff CL
Dialogues Contracept; 1995; 4(5):5-6, 8. PubMed ID: 12288680
[TBL] [Abstract][Full Text] [Related]
16. Causation, bias and confounding: a hitchhiker's guide to the epidemiological galaxy. Part 1. Principles of causality in epidemiological research: time order, specification of the study base and specificity.
Shapiro S
J Fam Plann Reprod Health Care; 2008 Apr; 34(2):83-7. PubMed ID: 18413019
[No Abstract] [Full Text] [Related]
17. Causation, bias and confounding: a hitchhiker's guide to the epidemiological galaxy. Introductory comments.
Shapiro S
J Fam Plann Reprod Health Care; 2008 Apr; 34(2):81-2. PubMed ID: 18413018
[No Abstract] [Full Text] [Related]
18. Late-life Cognitive Activity and Dementia: A Systematic Review and Bias Analysis.
Sajeev G; Weuve J; Jackson JW; VanderWeele TJ; Bennett DA; Grodstein F; Blacker D
Epidemiology; 2016 Sep; 27(5):732-42. PubMed ID: 27227783
[TBL] [Abstract][Full Text] [Related]
19. Toward a clearer definition of confounding.
Weinberg CR
Am J Epidemiol; 1993 Jan; 137(1):1-8. PubMed ID: 8434568
[TBL] [Abstract][Full Text] [Related]
20. Importance of causation for interpreting occupational epidemiology research: a case study of quartz and cancer.
Goldsmith DF
Occup Med; 1996; 11(3):433-49. PubMed ID: 8887378
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
