Mediation: R package for causal mediation analysis
Author(s): Tingley, Dustin; Yamamoto, Teppei; Hirose, Kentaro; Keele, Luke; Imai, Kosuke
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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Tingley, Dustin | - |
dc.contributor.author | Yamamoto, Teppei | - |
dc.contributor.author | Hirose, Kentaro | - |
dc.contributor.author | Keele, Luke | - |
dc.contributor.author | Imai, Kosuke | - |
dc.date.accessioned | 2020-02-19T21:21:27Z | - |
dc.date.available | 2020-02-19T21:21:27Z | - |
dc.date.issued | 2014-08 | en_US |
dc.identifier.citation | Tingley, D, Yamamoto, T, Hirose, K, Keele, L, Imai, K. (2014). Mediation: R package for causal mediation analysis. Journal of Statistical Software, 59 (5), 1 - 38. doi:10.18637/jss.v059.i05 | en_US |
dc.identifier.issn | 1548-7660 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/pr1gj2f | - |
dc.description.abstract | © 2014, Journal of Statistical Software. All rights reserved. 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. | en_US |
dc.format.extent | 1 - 38 | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Journal of Statistical Software | en_US |
dc.rights | Final published version. Article is made available in OAR by the publisher's permission or policy. | en_US |
dc.title | Mediation: R package for causal mediation analysis | en_US |
dc.type | Journal Article | en_US |
dc.identifier.doi | doi:10.18637/jss.v059.i05 | - |
pu.type.symplectic | http://www.symplectic.co.uk/publications/atom-terms/1.0/journal-article | en_US |
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Mediation JSS.pdf | 644.68 kB | Adobe PDF | View/Download |
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