Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10654-015-0087-5
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dc.titleA proposed clinical and biological interpretation of mediated interaction
dc.contributor.authorIkram, M.A
dc.contributor.authorVanderWeele, T.J
dc.date.accessioned2020-10-23T08:09:52Z
dc.date.available2020-10-23T08:09:52Z
dc.date.issued2015
dc.identifier.citationIkram, M.A, VanderWeele, T.J (2015). A proposed clinical and biological interpretation of mediated interaction. European Journal of Epidemiology 30 (10) : 1115-1118. ScholarBank@NUS Repository. https://doi.org/10.1007/s10654-015-0087-5
dc.identifier.issn0393-2990
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/179645
dc.description.abstractUnderstanding of causal pathways in epidemiology involves the concepts of direct and indirect effects. Recently, causal mediation analysis has been formalized to quantify these direct and indirect effects in the presence of exposure–mediator interaction and even allows for four-way decomposition of the total effect: controlled direct effect, reference interaction, mediated interaction, pure indirect effect. Whereas the other three effects can be intuitively conceptualized, mediated interaction is often considered a nuisance in statistical analysis. In this paper, we focus on mediated interaction and contrast it against pure mediation. We also propose a clinical and biological interpretation of mediated interaction using three hypothetical examples. With these examples we aim to make researchers aware that mediated interaction can actually provide important clinical and biological information. © 2015, The Author(s).
dc.publisherSpringer Netherlands
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectArticle
dc.subjectautocatalysis
dc.subjectbiomedicine
dc.subjectcausal mediation analysis
dc.subjectchemical reaction
dc.subjectconceptual framework
dc.subjectcontrolled direct effect
dc.subjecthuman
dc.subjectintermethod comparison
dc.subjectlife cycle
dc.subjectmediated interaction
dc.subjectnonhuman
dc.subjectprogeny
dc.subjectpure mediation
dc.subjectquantitative analysis
dc.subjectreference interaction
dc.subjectrisk factor
dc.subjectstatistical analysis
dc.subjectcausality
dc.subjectepidemiology
dc.subjectstatistical model
dc.subjectCausality
dc.subjectData Interpretation, Statistical
dc.subjectEffect Modifier, Epidemiologic
dc.subjectEpidemiologic Research Design
dc.subjectHumans
dc.subjectModels, Statistical
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1007/s10654-015-0087-5
dc.description.sourcetitleEuropean Journal of Epidemiology
dc.description.volume30
dc.description.issue10
dc.description.page1115-1118
dc.published.statePublished
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