The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Effect Decomposition in the Presence of an Exposure-Induced Mediator-Outcome Confounder
Open accessAbstract
Methods from causal mediation analysis have generalized the traditional approach to direct and indirect effects in the epidemiologic and social science literature by allowing for interaction and nonlinearities. However, the methods from the causal inference literature have themselves been subject to a major limitation, in that the so-called natural direct and indirect effects that are used are not identified from data whenever there is a mediator-outcome confounder that is also affected by the exposure. In this article, we describe three alternative approaches to effect decomposition that give quantities that can be interpreted as direct and indirect effects and that can be identified from data even in the presence of an exposure-induced mediator-outcome confounder. We describe a simple weighting-based estimation method for each of these three approaches, illustrated with data from perinatal epidemiology. The methods described here can shed insight into pathways and questions of mediation even when an exposure-induced mediator-outcome confounder is present.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
A general approach to causal mediation analysis.
Imai, K., Keele, L., & Tingley, D. (2010) · Psychological Methods · doi:10.1037/a0020761 · Cited by 4,143
Robins, J. (1986) · Mathematical Modelling · doi:10.1016/0270-0255(86)90088-6 · Cited by 2,451
Self-citationValeri, L., & VanderWeele, T. J. (2013) · Psychological Methods · doi:10.1037/a0031034 · Cited by 2,132
Self-citationIdentifiability and exchangeability for direct and indirect effects
Robins, J. M., & Greenland, S. (1992) · Epidemiology · doi:10.1097/00001648-199203000-00013 · Cited by 1,793
Self-citationKotelchuck, M. (1994) · American Journal of Public Health · doi:10.2105/ajph.84.9.1414 · Cited by 1,175
Odds Ratios for Mediation Analysis for a Dichotomous Outcome
VanderWeele, T. J., & Vansteelandt, S. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq332 · Cited by 809
Self-citationConceptual issues concerning mediation, interventions and composition
Vanderweele, T. J., & Vansteelandt, S. (2009) · Statistics and Its Interface · doi:10.4310/sii.2009.v2.n4.a7 · Cited by 739
Self-citationLarge Sample Confidence Regions Based on Subsamples under Minimal Assumptions
Politis, D. N., & Romano, J. P. (1994) · The Annals of Statistics · doi:10.1214/aos/1176325770 · Cited by 731
Marginal Structural Models for the Estimation of Direct and Indirect Effects
VanderWeele, T. J. (2009) · Epidemiology · doi:10.1097/ede.0b013e31818f69ce · Cited by 583
Self-citation
Cited by
Mediation Analysis: A Practitioner's Guide
VanderWeele, T. J. (2016) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-032315-021402 · Cited by 1,985
Self-citationMediation analysis with multiple mediators
VanderWeele, T., & Vansteelandt, S. (2014) · Epidemiologic Methods · doi:10.1515/em-2012-0010 · Cited by 858
Self-citationMultivariable Mendelian Randomization and Mediation
Sanderson, E. (2021) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a038984 · Cited by 827
Flexible Mediation Analysis With Multiple Mediators
Steen, J., Loeys, T., Moerkerke, B., & Vansteelandt, S. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx051 · Cited by 123
Self-citationGoldsmith, K. A., MacKinnon, D. P., Chalder, T., White, P. D., Sharpe, M., & Pickles, A. (2018) · Psychological Methods · doi:10.1037/met0000154 · Cited by 99
Metadata
- Authors
- VanderWeele, T. J., Vansteelandt, S., & Robins, J. M.
- Venue
- Epidemiology
- Published
- 2014-03
- Volume
- 25
- Issue
- 2
- Pages
- 300-306
- ISSN
- 1044-3983 (ISSN-L)
- OpenAlex
- W2084701241
- Cited by
- 401
- References
- 21
- FWCI
- 16.15
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Effect Decomposition in the Presence of an Exposure-Induced Mediator-Outcome Confounder. https://app.cochat.ai/papers/10.1097/ede.0000000000000034
- The paper
- VanderWeele, T. J., Vansteelandt, S., & Robins, J. M. (2014). Effect Decomposition in the Presence of an Exposure-Induced Mediator-Outcome Confounder. Epidemiology. https://doi.org/10.1097/ede.0000000000000034
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
