visualize_c

This function displays a visualization of the possible
bias c that allows for a non-zero effect in sensitivity.

visualization

effect

Estimation

ggplot

size

Designed to help the user to determine the sensitivity of an proposed causal effect to unconsidered common causes. Users can create visualizations of sensitivity, effect sizes, and determine which pattern of effects would support a causal claim for between group differences. Number needed to treat formula from Kraemer H.C. & Kupfer D.J. (2006) <doi:10.1016/j.biopsych.2005.09.014>.

Erin M. Buchanan

ViSe

Visualizing Sensitivity

visualize_c function

<dl><dt>dlow</dt>
<dd>The lower limit of the possible effect size</dd>
<dt>lower</dt>
<dd>Use this to indicate if you want the lower or upper bound
of d for one sided confidence intervals. If d is positive, you generally
want <code>lower = TRUE</code>, while negative d values should enter
<code>lower = FALSE</code> for the upper bound that is closer to zero.</dd>
<dt>ribbon_color</dt>
<dd>background coloring for c values that support
a non-zero effect in sensitivity</dd></dl>

Arguments

Visualization for Estimating c Bias — visualize_c

<dl>

<dt>dlow</dt>
<dd>The lower limit of the possible effect size</dd>


<dt>lower</dt>
<dd>Use this to indicate if you want the lower or upper bound
of d for one sided confidence intervals. If d is positive, you generally
want <code>lower = TRUE</code>, while negative d values should enter
<code>lower = FALSE</code> for the upper bound that is closer to zero.</dd>


<dt>ribbon_color</dt>
<dd>background coloring for c values that support
a non-zero effect in sensitivity</dd>

</dl>

visualize_c: Visualization for Estimating c Bias

Description

Usage

Value

Arguments

Examples