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mediation:R Package for Causal Mediation Analysis
Open accessAbstract
In this paper, we describe the R package mediation for conducting causal mediation analysis in applied empirical research. In many scientific disciplines, the goal of researchers is not only estimating causal effects of a treatment but also understanding the process in which the treatment causally affects the outcome. Causal mediation analysis is frequently used to assess potential causal mechanisms. The mediation package implements a comprehensive suite of statistical tools for conducting such an analysis. The package is organized into two distinct approaches. Using the model-based approach, researchers can estimate causal mediation effects and conduct sensitivity analysis under the standard research design. Furthermore, the design-based approach provides several analysis tools that are applicable under different experimental designs. This approach requires weaker assumptions than the model-based approach. We also implement a statistical method for dealing with multiple (causally dependent) mediators, which are often encountered in practice. Finally, the package also offers a methodology for assessing causal mediation in the presence of treatment noncompliance, a common problem in randomized trials.
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Cano-Crespo, A., Moreno-García, I., Servera, M., & Morales-Ortiz, M. (2024) · The Spanish Journal of Psychology · doi:10.1017/sjp.2024.26 · Cited by 8
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Zainal, N. H., & Newman, M. G. (2024) · European Psychiatry · doi:10.1192/j.eurpsy.2024.1750 · Cited by 3
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Study of blood linear RNA nominates CD55 and DLD as early-stage biomarkers for Parkinson's disease
Beric, A., Sahin, S., Sanchez, S., Yang, Z., Kumar, R., Alfradique-Dunham, I., Sanford, J., Western, D., Phillips, B., Budde, J. P., et al. (2026) · Brain · doi:10.1093/brain/awag014 · Cited by 2
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Metadata
- Authors
- Tingley, D., Yamamoto, T., Hirose, K., Keele, L., & Imai, K.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2014
- Volume
- 59
- Issue
- 5
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W1908991493
- Cited by
- 4,155
- References
- 8
- FWCI
- 98.30
- Type
- journal article
- Language
- en
- Open access
- diamond
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
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.
