create_forest_plot

Creates a forest plot visualization of risk difference results,
automatically detecting stratification variables and creating appropriate labels.

Calculates risk differences (or prevalence differences for
cross-sectional data) using generalized linear models with automatic
link function selection. Provides robust model fitting with fallback
methods, support for stratification and adjustment variables, inverse
probability of treatment weighting (IPTW) for causal inference, and
publication-ready output formatting. Handles model convergence issues
gracefully and provides confidence intervals using multiple approaches.
Methods are based on approaches described in Mark W. Donoghoe and
Ian C. Marschner (2018) "logbin: An R Package for Relative Risk
Regression Using the Log-Binomial Model" <doi:10.18637/jss.v086.i09>
for robust GLM fitting, Peter C. Austin (2011) "An Introduction to
Propensity Score Methods for Reducing the Effects of Confounding in
Observational Studies" <doi:10.1080/00273171.2011.568786> for IPTW methods,
and standard epidemiological methods for risk difference estimation as
described in Kenneth J. Rothman, Sander Greenland and Timothy L. Lash
(2008, ISBN:9780781755641) "Modern Epidemiology".

John D. Murphy

riskdiff

Risk Difference Estimation with Multiple Link Functions and
Inverse Probability of Treatment Weighting

create_forest_plot function

<dl><dt>results</dt>
<dd>Results tibble from calc_risk_diff()</dd>
<dt>title</dt>
<dd>Plot title (default: "Risk Differences")</dd>
<dt>max_ci_width</dt>
<dd>Maximum CI width for display (default: 50)</dd>
<dt>...</dt>
<dd>Additional arguments passed to ggplot</dd></dl>

Arguments

Create Forest Plot for Risk Difference Results — create_forest_plot

<dl>

<dt>results</dt>
<dd>Results tibble from calc_risk_diff()</dd>


<dt>title</dt>
<dd>Plot title (default: "Risk Differences")</dd>


<dt>max_ci_width</dt>
<dd>Maximum CI width for display (default: 50)</dd>


<dt>...</dt>
<dd>Additional arguments passed to ggplot</dd>

</dl>

create_forest_plot: Create Forest Plot for Risk Difference Results

Description

Usage

Value

Arguments

Examples