summary.regmedint_mod_poisson

This is a version of <code><a href="/link/summary.glm?package=regmedint&version=1.0.1" data-mini-rdoc="regmedint::summary.glm">summary.glm</a></code> modified to use the robust variance estimator <code>sandwich</code>.

This is an extension of the regression-based causal mediation analysis first proposed by Valeri and VanderWeele (2013) <doi:10.1037/a0031034> and Valeri and VanderWeele (2015) <doi:10.1097/EDE.0000000000000253>). It supports including effect measure modification by covariates(treatment-covariate and mediator-covariate product terms in mediator and outcome regression models) as proposed by Li et al (2023) <doi:10.1097/EDE.0000000000001643>. It also accommodates the original 'SAS' macro and 'PROC CAUSALMED' procedure in 'SAS' when there is no effect measure modification. Linear and logistic models are supported for the mediator model. Linear, logistic, loglinear, Poisson, negative binomial, Cox, and accelerated failure time (exponential and Weibull) models are supported for the outcome model.

Yi Li

regmedint

Regression-Based Causal Mediation Analysis with Interaction and
Effect Modification Terms

Kazuki Yoshida

Maya Mathur

summary.regmedint_mod_poisson function

<dl><dt>object</dt>
<dd>A model object of the class <code>regmedint_mod_poisson</code></dd>
<dt>...</dt>
<dd>For compatibility with the generic.</dd></dl>

Arguments

This is a version of <code><a href='https://rdrr.io/r/stats/summary.glm.html'>summary.glm</a></code> modified to use the robust variance estimator <code>sandwich</code>.

Summary with robust sandwich variance estimator for modified Poisson — summary.regmedint_mod_poisson

<dl>

<dt>object</dt>
<dd>A model object of the class <code>regmedint_mod_poisson</code></dd>


<dt>...</dt>
<dd>For compatibility with the generic.</dd>

</dl>

summary.regmedint_mod_poisson: Summary with robust sandwich variance estimator for modified Poisson

Description

Usage

Value

Arguments