The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Estimating Direct Effects in Cohort and Case–Control Studies
Abstract
Estimating the effect of an exposure on an outcome, other than through some given mediator, requires adjustment for all risk factors of the mediator that are also associated with the outcome. When these risk factors are themselves affected by the exposure, then standard regression methods do not apply. In this article, I review methods for accommodating this and discuss their limitations for estimating the controlled direct effect (ie, the exposure effect when controlling the mediator at a specified level uniformly in the population). In addition, I propose a powerful and easy-to-apply alternative that uses G-estimation in structural nested models to address these limitations both for cohort and case-control studies.
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Marginal Structural Models and Causal Inference in Epidemiology
Robins, J. M., Hernán, M. Á., & Brumback, B. (2000) · Epidemiology · doi:10.1097/00001648-200009000-00011 · Cited by 5,581
Identifiability and exchangeability for direct and indirect effects
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The Consquences of Adjustment for a Concomitant Variable That Has Been Affected by the Treatment
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VanderWeele, T. J. (2009) · Epidemiology · doi:10.1097/ede.0b013e31818f69ce · Cited by 583
Fallibility in estimating direct effects
Cole, S. R., & Hernán, M. A. (2002) · International Journal of Epidemiology · doi:10.1093/ije/31.1.163 · Cited by 548
Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001)Preprint
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Petersen, M. L., Sinisi, S. E., & van der Laan, M. J. (2006) · Epidemiology · doi:10.1097/01.ede.0000208475.99429.2d · Cited by 362
Data, Design, and Background Knowledge in Etiologic Inference
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Research works printed but not linked: 1
- Didelez, 2006, Proceedings of the 22nd Annual Conference on Uncertainty in Artifical Intelligence., 138
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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
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-citationMediation analysis in epidemiology: methods, interpretation and bias
Richiardi, L., Bellocco, R., & Zugna, D. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dyt127 · Cited by 822
Conceptual 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 758
Self-citationBurgess, S., Daniel, R. M., Butterworth, A. S., Thompson, S. G., & the EPIC-InterAct Consortium (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyu176 · Cited by 543
Metadata
- Authors
- Vansteelandt, S.
- Affiliations
- Ghent University (BE)
- Corresponding author
- Vansteelandt, Stijn
- ORCID
- Vansteelandt, Stijn
- Venue
- Epidemiology
- Published
- 2009-11
- Volume
- 20
- Issue
- 6
- Pages
- 851-860
- ISSN
- 1044-3983 (ISSN-L)
- OpenAlex
- W1971464691
- Cited by
- 159
- References
- 22
- Citations by year
- 2025: 6 · 2024: 9 · 2023: 11 · 2022: 11 · 2021: 9 · 2020: 11 · 2019: 8 · 2018: 8 · 2017: 7 · 2016: 15 · 2015: 7 · 2014: 12 · 2013: 8 · 2012: 17
- FWCI
- 10.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- controlled direct effect, G-estimation, cohort studies, case-control study
- MeSH terms
- Humans, Risk Factors, Models, Statistical, Cohort Studies, Epidemiologic Research Design, Causality, Confounding Factors, Epidemiologic, Outcome Assessment, Health Care
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