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Cited by 858Advanced Causal Inference TechniquesStatistical Methods in EpidemiologyBayesian Modeling and Causal Inference

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Mediation Analysis with Multiple Mediators

Open access
VanderWeele, Tyler, Vansteelandt, Stijn·2014·Epidemiologic Methods
DOI 10.1515/em-2012-0010PMC PMC4287269
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Abstract

Recent advances in the causal inference literature on mediation have extended traditional approaches to direct and indirect effects to settings that allow for interactions and non-linearities. In this paper, these approaches from causal inference are further extended to settings in which multiple mediators may be of interest. Two analytic approaches, one based on regression and one based on weighting are proposed to estimate the effect mediated through multiple mediators and the effects through other pathways. The approaches proposed here accommodate exposure-mediator interactions and, to a certain extent, mediator-mediator interactions as well. The methods handle binary or continuous mediators and binary, continuous or count outcomes. When the mediators affect one another, the strategy of trying to assess direct and indirect effects one mediator at a time will in general fail; the approach given in this paper can still be used. A characterization is moreover given as to when the sum of the mediated effects for multiple mediators considered separately will be equal to the mediated effect of all of the mediators considered jointly. The approach proposed in this paper is robust to unmeasured common causes of two or more mediators.

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Research works printed but not linked: 18

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Metadata

Authors
VanderWeele, T., & Vansteelandt, S.
Affiliations
  • Harvard University (US)
  • Ghent University (BE)
Corresponding author
VanderWeele, Tyler
ORCID
Venue
Epidemiologic Methods
Publisher
Walter de Gruyter GmbH
Published
2014-01-03
Volume
2
Issue
1
Pages
95-115
ISSN
  • 2161-962X (ISSN-L)
  • 2194-9263
DOI
10.1515/em-2012-0010
PMC
PMC4287269
OpenAlex
W2009754435
Cited by
858
References
23
Citations by year
2026: 62 · 2025: 96 · 2024: 140 · 2023: 97 · 2022: 106 · 2021: 95 · 2020: 85 · 2019: 64 · 2018: 40 · 2017: 39 · 2016: 16 · 2015: 13 · 2014: 4
FWCI
25.37
Type
journal article
Language
en
Open access
Locations
  • Epidemiologic Methods (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion)
Funders
National Institute of Environmental Health Sciences (R01ES017876)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
Keywords
mediation analysis, multiple mediators, direct and indirect effects, count outcomes, causal inference, regression estimation

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