sim_data

A simulated dataset with three variables.

datasets

Implementing the interventional effects for mediation analysis for up to 3 mediators.
The methods used are based on VanderWeele, Vansteelandt and Robins (2014) <doi:10.1097/ede.0000000000000034>,
Vansteelandt and Daniel (2017) <doi:10.1097/ede.0000000000000596> and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package).
Linear regression, logistic regression and Poisson regression are used for continuous, binary
and count mediator/outcome variables respectively.

Gary Chan

intmed

Mediation Analysis using Interventional Effects

sim_data function

A data frame with 1000 rows:<dl class="dl-horizontal">
 <dt>x</dt><dd>Exposure variable</dd>
 <dt>m</dt><dd>Mediator</dd>
 <dt>y</dt><dd>Outcome</dd>
</dl>

Format

A simulated dataset for demonstrating mediation analysis with a single mediator — sim_data

A data frame with 1000 rows:<dl class='dl-horizontal'>
 <dt>x</dt><dd>Exposure variable</dd>
 <dt>m</dt><dd>Mediator</dd>
 <dt>y</dt><dd>Outcome</dd>
</dl>

sim_data: A simulated dataset for demonstrating mediation analysis with a single mediator

Description

Usage

Arguments

Format