substance

A fictitious dataset about family intervention and youth substance misuse

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 and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package).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

substance function

A data frame with 553 rows:<dl class="dl-horizontal">
 <dt>gender</dt><dd>Gender of the participants, Male/Female.</dd>
 <dt>conflict</dt><dd>Level of family conflict. Higher value represents higher level of conflict.</dd>
 <dt>dev_peer</dt><dd>Engagement with deviant peer groups. 1: Yes; 0: No</dd>
 <dt>sub_exp</dt><dd>Experimentation with substance. 1: Yes; 0: No</dd>
 <dt>fam_int</dt><dd>Participation in family intervention during adolescence. 1: Yes; 0: No</dd>
 <dt>sub_misuse</dt><dd>Substance misuse in young adulthood. 1: Yes; 0: No</dd>
</dl>

Format

Fictitious family intervention data — substance

A data frame with 553 rows:<dl class='dl-horizontal'>
 <dt>gender</dt><dd>Gender of the participants, Male/Female.</dd>
 <dt>conflict</dt><dd>Level of family conflict. Higher value represents higher level of conflict.</dd>
 <dt>dev_peer</dt><dd>Engagement with deviant peer groups. 1: Yes; 0: No</dd>
 <dt>sub_exp</dt><dd>Experimentation with substance. 1: Yes; 0: No</dd>
 <dt>fam_int</dt><dd>Participation in family intervention during adolescence. 1: Yes; 0: No</dd>
 <dt>sub_misuse</dt><dd>Substance misuse in young adulthood. 1: Yes; 0: No</dd>
</dl>

substance: Fictitious family intervention data

Description

Usage

Arguments

Format