create_summary_table.cs_distribution

Create Summary Table for Distribution-Based Approach

internal

A clinical significance analysis can be used to determine if an
intervention has a meaningful or practical effect for patients. You provide
a tidy data set plus a few more metrics and this package will take care of
it to make your results publication ready.

Benedikt Claus

clinicalsignificance

A Toolbox for Clinical Significance Analyses in Intervention
Studies

create_summary_table.cs_distribution function

<dl><dt>x</dt>
<dd>A results object that differs per approach:<ul>
<li>RCI results for distribution-based and combined approach</li>
<li>Cutoff results for statistical approach</li>
<li>PCT results for percentage-change approach</li>
<li>Anchor results for the anchor-based approach</li>
</ul></dd>
<dt>data</dt>
<dd>The used data frame</dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

Create Summary Table for Distribution-Based Approach — create_summary_table.cs_distribution

<dl>

<dt>x</dt>
<dd>A results object that differs per approach:<ul>
<li>RCI results for distribution-based and combined approach</li>
<li>Cutoff results for statistical approach</li>
<li>PCT results for percentage-change approach</li>
<li>Anchor results for the anchor-based approach</li>
</ul></dd>


<dt>data</dt>
<dd>The used data frame</dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

create_summary_table.cs_distribution: Create Summary Table for Distribution-Based Approach

Description

Usage

Arguments