mediation: R Package for Causal Mediation Analysis

mediation: R Package for Causal Mediation Analysis

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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 madelaine chocolate hearts 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 133x4 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.