calculate_effects

Provides functions for estimating natural direct and indirect effects for mediation analysis. It uses weighting where the weights are functions of estimates of the probability of exposure or treatment assignment (Hong, G (2010). <https://cepa.stanford.edu/sites/default/files/workshops/GH_JSM%20Proceedings%202010.pdf> Huber, M. (2014). <doi:10.1002/jae.2341>). Estimation of probabilities can use generalized boosting or logistic regression. Additional functions provide diagnostics of the model fit and weights. The vignette provides details and examples.

Dan McCaffrey

twangMediation

Twang Causal Mediation Modeling via Weighting

Katherine Castellano

Donna Coffman

Brian Vegetabile

Megan Schuler

Haoyu Zhou

calculate_effects function

<dl><dt>w_11</dt>
<dd>The Y(1, M(1)) weights</dd>
<dt>w_00</dt>
<dd>The Y(0, M(0)) weights</dd>
<dt>w_10</dt>
<dd>The Y(1, M(0)) weights</dd>
<dt>w_01</dt>
<dd>The Y(0, M(1)) weights</dd>
<dt>y_outcome</dt>
<dd>The Y variable</dd>
<dt>sampw</dt>
<dd>Sampling weights, set to NULL by default.</dd></dl>

Arguments

Calculate the actual effects — calculate_effects

<dl>

<dt>w_11</dt>
<dd>The Y(1, M(1)) weights</dd>


<dt>w_00</dt>
<dd>The Y(0, M(0)) weights</dd>


<dt>w_10</dt>
<dd>The Y(1, M(0)) weights</dd>


<dt>w_01</dt>
<dd>The Y(0, M(1)) weights</dd>


<dt>y_outcome</dt>
<dd>The Y variable</dd>


<dt>sampw</dt>
<dd>Sampling weights, set to NULL by default.</dd>

</dl>

Calculate the actual effects

calculate_effects: Calculate the actual effects

Description

Usage

Value

Arguments

See Also