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A proposed clinical and biological interpretation of mediated interaction

Understanding 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...

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Detalles Bibliográficos
Autores principales: Ikram, M. Arfan, VanderWeele, Tyler J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636997/
https://www.ncbi.nlm.nih.gov/pubmed/26438385
http://dx.doi.org/10.1007/s10654-015-0087-5
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author Ikram, M. Arfan
VanderWeele, Tyler J.
author_facet Ikram, M. Arfan
VanderWeele, Tyler J.
author_sort Ikram, M. Arfan
collection PubMed
description Understanding 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.
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spelling pubmed-46369972015-11-12 A proposed clinical and biological interpretation of mediated interaction Ikram, M. Arfan VanderWeele, Tyler J. Eur J Epidemiol Methods Understanding 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. Springer Netherlands 2015-10-05 2015 /pmc/articles/PMC4636997/ /pubmed/26438385 http://dx.doi.org/10.1007/s10654-015-0087-5 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Methods
Ikram, M. Arfan
VanderWeele, Tyler J.
A proposed clinical and biological interpretation of mediated interaction
title A proposed clinical and biological interpretation of mediated interaction
title_full A proposed clinical and biological interpretation of mediated interaction
title_fullStr A proposed clinical and biological interpretation of mediated interaction
title_full_unstemmed A proposed clinical and biological interpretation of mediated interaction
title_short A proposed clinical and biological interpretation of mediated interaction
title_sort proposed clinical and biological interpretation of mediated interaction
topic Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636997/
https://www.ncbi.nlm.nih.gov/pubmed/26438385
http://dx.doi.org/10.1007/s10654-015-0087-5
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