The DOI matches its Crossref record; 62 of the 63 references it cites were found in a registry or an index.
A review of causal estimation of effects in mediation analyses
Abstract
We describe causal mediation methods for analysing the mechanistic factors through which interventions act on outcomes. A number of different mediation approaches have been presented in the biomedical, social science and statistical literature with an emphasis on different aspects of mediation. We review the different sets of assumptions that allow identification and estimation of effects in the simple case of a single intervention, a temporally subsequent mediator and outcome. These assumptions include various no confounding assumptions including sequential ignorability assumptions and also interaction assumptions involving the treatment and mediator. The understanding of such assumptions is crucial since some can be assessed under certain conditions (e.g. treatment–mediator interactions), whereas others cannot (sequential ignorability). These issues become more complex with multiple mediators and longitudinal outcomes. In addressing these assumptions, we review several causal approaches to mediation analyses.
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Methods for dealing with time‐dependent confounding
Daniel, R., Cousens, S. N., Stavola, B. L. D., Kenward, M. G., & Sterne, J. A. C. (2012) · Statistics in Medicine · doi:10.1002/sim.5686 · Cited by 378
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Metadata
- Authors
- Ten Have, T. R., & Joffe, M. M.
- Affiliations
- Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
- University of Pennsylvania (US)
- Venue
- Statistical Methods in Medical Research
- Publisher
- SAGE Publications
- Published
- 2010-12-16
- Volume
- 21
- Issue
- 1
- Pages
- 77-107
- ISSN
- 0962-2802 (ISSN-L)
- 1477-0334
- OpenAlex
- W2013610310
- Cited by
- 103
- References
- 63
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 11 · 2023: 4 · 2022: 3 · 2021: 9 · 2020: 2 · 2019: 6 · 2018: 9 · 2017: 6 · 2016: 5 · 2015: 11 · 2014: 12 · 2013: 6 · 2012: 11
- FWCI
- 4.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Statistical Methods in Medical Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (R01MH078016, R01MH061892)
- National Cancer Institute (R01CA095415)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy of Biology and Scientific Explanation
- Keywords
- causal mediation analysis, mediating effect, sequential ignorability, multiple mediators, longitudinal outcomes, intervention mechanisms, causal effect estimation
- MeSH terms
- Suicide Prevention, Data Interpretation, Statistical, Humans, Suicide, Models, Statistical, Bias, Causality, Confounding Factors, Epidemiologic, Biomedical Research
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