Causation and Causal Inference in Epidemiology.
Concepts of cause and causal inference are largely self-taught from early learning experiences. A model of causation that describes causes in terms of sufficient causes and their component causes illuminates important principles such as multicausality, the dependence of the strength of component cau...
| Publicado en: | American Journal of Public Health Vol. 95; pp. 144 - 151 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
American Public Health Association
2005 Supplement 1
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=17713748&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 17713748 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: 2005 Supplement 1 vid: 95 pid: 44 pub: American Public Health Association place: Washington, District of Columbia artinfo: ui: 17713748 10.2105/AJPH.2004.059204 17713748 ppf: 144 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Causation and Causal Inference in Epidemiology. aug: au: Rothman, Kenneth J. Greenland, Sander affil: Boston University Medical Center, Boston, Mass. sug: ab: Concepts of cause and causal inference are largely self-taught from early learning experiences. A model of causation that describes causes in terms of sufficient causes and their component causes illuminates important principles such as multicausality, the dependence of the strength of component causes on the prevalence of complementary component causes, and interaction between component causes. Philosophers agree that causal propositions cannot be proved, and find flaws or practical limitations in all philosophies of causal inference. Hence, the role of logic, belief, and observation in evaluating causal propositions is not settled. Causal inference in epidemiology is better viewed as an exercise in measurement of an effect rather than as a criterion-guided process for deciding whether an effect is present or not. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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