mediation: R Package for Causal Mediation Analysis

mediation: R Package for Causal Mediation Analysis

Blog Article

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 hydrangea red sensation 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 taylor te400 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.