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 Me Spring Dress 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 Table Topper Kits 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.