plot.mbias

Create two Directed Acyclic Graphs (DAGs), before and after conditioning on the
collider M, for selection bias caused by M bias, using 'ggdag'.

Basic sensitivity analysis of the observed relative risks adjusting
for unmeasured confounding and misclassification of the
exposure/outcome, or both. It follows the bias analysis methods and
examples from the book by Lash T.L, Fox M.P, and Fink A.K.
"Applying Quantitative Bias Analysis to Epidemiologic Data",
('Springer', 2021).

Denis Haine

episensr

Basic Sensitivity Analysis of Epidemiological Results

plot.mbias function

<dl><dt>x</dt>
<dd>'mbias' object to plot.</dd>
<dt>type</dt>
<dd>DAG before or after conditioning on M.</dd>
<dt>dec</dt>
<dd>Number of digits displayed.</dd>
<dt>...</dt>
<dd>Other unused arguments.</dd></dl>

Arguments

Plot DAGs before and after conditioning on collider (M bias) — plot.mbias

<dl>

<dt>x</dt>
<dd>'mbias' object to plot.</dd>


<dt>type</dt>
<dd>DAG before or after conditioning on M.</dd>


<dt>dec</dt>
<dd>Number of digits displayed.</dd>


<dt>...</dt>
<dd>Other unused arguments.</dd>

</dl>

plot.mbias: Plot DAGs before and after conditioning on collider (M bias)

Description

Usage

Value

Arguments

See Also

Examples