NEDENSEL ÇIKARIM SÜRECİ VE BAZI ÖNEMLİ KAVRAMLAR: ETKİ DEĞİŞTİRİCİ, KARIŞTIRICI, ÇARPIŞTIRICI VE MEDİYATÖR
Year 2023,
Volume: 8 Issue: 3, 361 - 374, 29.10.2023
İsmail Çevik
,
Pınar Okyay
Abstract
Günümüzde, hastalıkların hemen hepsinin multifaktöriyel etiyolojilere sahip olduğu düşünülmektedir. Bir hastalığın ortaya çıkmasının birden fazla etkenin, farklı oranlarda ve farklı mekanizmalarla yaptığı etkiler neticesinde olması, aynı zamanda bir etken ile onun sonucu arasında diğer tüm etkilerden soyutlanmış bir ilişki olamayacağı anlamına da gelmektedir. Etken ile hastalık arasındaki ilişkiyi etkileyen ve nedenselliği çarpıtan üçüncül faktörler mutlaka olacaktır. Bu yüzden, epidemiyologlar ve bilimsel çalışmalar yürütecek olan diğer tüm araştırmacılar tarafından etki değiştirici, karıştırıcı, çarpıştırıcı ve mediyatör gibi kavramların bilinmesi ve çalışmaların tüm aşamalarında bu üçüncül faktörlerin mutlaka gözetilmesi gerekmektedir.
Supporting Institution
Yok
References
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CAUSAL INFERENCE AND SOME IMPORTANT CONCEPTS: EFFECT MODIFIER, CONFOUNDER, COLLIDER, AND MEDIATOR
Year 2023,
Volume: 8 Issue: 3, 361 - 374, 29.10.2023
İsmail Çevik
,
Pınar Okyay
Abstract
In modern times, it is believed that most diseases have multifactorial etiologies. The emergence of a disease results from the combined effects of multiple factors operating at different rates and through different mechanisms. This also implies that there cannot be a relationship between a cause and its outcome that is isolated from all other influences. There will always be third factors that influence and distort the relationship between a cause and a disease. Therefore, it is crucial for epidemiologists and all other researchers conducting scientific studies to be aware of concepts such as effect modifier, confounder, collider, and mediator and to consider these third factors throughout all stages of their research.
References
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- 2. Hulswit M. A Short History of ‘Causation’ [Internet]. [cited 2022 Mar 21]. Available from: http://see.library.utoronto.ca/SEED/Vol4-3/Hulswit.htm
- 3. Evans AS. Evans As. Causatıon And Dısease: A Chronologıcal Journey: The Thomas Parran Lecture1. Am J
Epidemiol [Internet]. 1978 Oct 1;108(4): 249–58. Available from: https://doi.org/10.1093/oxfordjournals.aje.a112617
- 4. Last JM, editor. A Dictionary of Epidemiology. 4th ed. Oxford University Press; 2001.
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- 6. Cohen J. The Evolution of Koch’s Postulates. Infect Dis (Auckl) [Internet]. 2017 [cited 2022 Apr 6];1-3.e1. Available from: https://www.sciencedirect.com/science/article/pii/B9780702062858000010?via%3Dihub
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- 8. Ventriglio A, Bellomo A, Bhugra D. Web of causation and its implications for epidemiological research. Int J Soc Psychiatry [Internet]. 2016 Feb 12;62(1):3–4. Available from: http://journals.sagepub.com/doi/10.1177/0020764015587629
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- 16. Greenland S. Invited Commentary on “Causes.” Am J Epidemiol [Internet]. 1995;141(2). Available from: https://www.sjsu.edu/faculty/gerstman/eks/Rothman1976.pdf
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- 18. Aschengrau A, Seage GR. Essentials of Epidemiology in Public Health. 4th Edition. 2020. 541 p.
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- 25. McNamee R. Confounding and confounders. Occup Environ Med [Internet]. 2003 Mar 1;60(3):227 LP – 234. Available from: http://oem.bmj.com/content/60/3/227.abstract
- 26. Kilic S. Effect size. J Mood Disord [Internet]. 2014;4(1):44. Available from: http://www.scopemed.org/fulltextpdf.php?mno=152916
- 27. Weinberg CR. Toward a Clearer Definition of Confounding. Am J Epidemiol [Internet]. 1993 Jan1;137(1):1–8. Available from: https://academic.oup.com/aje/article/303163/Toward
- 28. Grant BF, Hasin DS, Chou SP, Stinson FS, Dawson DA. Nicotine Dependence and Psychiatric Disorders in the United States. Arch Gen Psychiatry [Internet]. 2004 Nov 1;61(11):1107. Available from: http://archpsyc.jamanetwork.com/article.aspx?doi=10.1001/archpsyc.61.11.1107
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- 30. Holmberg MJ, Andersen LW. Collider Bias. JAMA [Internet]. 2022 Apr 5;327(13):1282. Available from: https://jamanetwork.com/journals/jama/fullarticle/2790247
- 31. Tönnies T, Kahl S, Kuss O. Collider bias in observational studies. Dtsch Arztebl Int [Internet]. 2022 Feb 18; Available from: https://www.aerzteblatt.de/10.3238/arztebl.m2022.0076
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- 33. Holmberg MJ, Andersen LW. Collider Bias. JAMA [Internet]. 2022 Mar 14 [cited 2022 Apr 5]; Available from: https://jamanetwork.com/journals/jama/fullarticle/2790247
- 34. Lipsky AM, Greenland S. Causal Directed Acyclic Graphs. JAMA [Internet]. 2022 Mar 15;327(11):1083. Available from: https://jamanetwork.com/journals/jama/fullarticle/2789646
- 35. Keogh E, Eccleston C. Sex differences in adolescent chronic pain and pain-related coping. Pain [Internet]. 2006 Aug;123(3):275–84. Available from: https://journals.lww.com/00006396-200608000-00009
- 36. Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology [Internet]. 1999 Jan;10(1):37–48. Available from: http://www.ncbi.nlm.nih.gov/pubmed/9888278
- 37.Greenland S. Invited Commentary: Variable Selection versus Shrinkage in the Control of Multiple Confounders. Am J Epidemiol [Internet]. 2007 Dec 12;167(5):523–9. Available from: https://academic.oup.com/aje/article-lookup/doi/10.1093/aje/kwm355
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- 39. Kirkwood K, Sterne JAC. Essential Medical Statistics. Malden, Mass: Blackwell Science.; 2003.
- 40. Wunsch G. Confounding and control. Demogr Res [Internet]. 2007 Feb 6;16:97–120. Available from: http://www.demographic-research.org/volumes/vol16/4/
- 41. Keiding N, Clayton D. Standardization and Control for Confounding in Observational Studies: A Historical Perspective. Stat Sci [Internet]. 2014 Nov 1;29(4). Available from: https://projecteuclid.org/journals/statistical-science/volume-29/issue-4/Standardization-and-Control-for-Confounding-in-Observational-Studies--A/10.1214/13-STS453.full
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- 45. Wakkee M, Hollestein LM, Nijsten T. Multivariable Analysis. J Invest Dermatol [Internet]. 2014 May;134(5):1–5. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0022202X15367774
- 46. ENCePP Home Page [Internet]. [cited 2022 Apr 21]. Available from: https://www.encepp.eu/standards_and_guidances/methodologicalGuide6.shtml#sixtwothree