Journal of Statistical Software· 2014Q1
<b>mediation</b>:<i>R</i>Package for Causal Mediation Analysis
- 3,981citations
- Q1SCImago
- 2014year
Short summary
The R package 'mediation' offers tools for causal mediation analysis, enabling researchers to understand how treatments affect outcomes through specific mechanisms.
AI-generated from the title and abstract; the full text is not read.
Key points
- The 'mediation' R package facilitates causal mediation analysis in applied research.
- It offers a model-based approach for estimating causal mediation effects and conducting sensitivity analysis.
- A design-based approach with weaker assumptions is available for various experimental designs.
- The package includes methods for handling multiple, causally dependent mediators.
- It also provides tools for assessing mediation with treatment noncompliance in randomized trials.
AI-generated from the title and abstract; the full text is not read.
Abstract
In this paper, we describe the R package <b>mediation</b> 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 <b>mediation</b> 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.
The authors' abstract, as published at the source. Journal of Statistical Software, 2014 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Statistics and Probability
Statistics and ProbabilityMathematics