calc_cutoff_from_data.default

Calculate the categories based on the cutoff

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. Accompanying package to
Claus et al. <doi:10.18637/jss.v111.i01>.

Benedikt Claus

clinicalsignificance

A Toolbox for Clinical Significance Analyses in Intervention
Studies

calc_cutoff_from_data.default function

<dl><dt>data</dt>
<dd>Prepped data with class <code>cs_*</code></dd>
<dt>m_functional</dt>
<dd>Mean of functional population</dd>
<dt>sd_functional</dt>
<dd>SD of functional population</dd>
<dt>type</dt>
<dd>Cutoff type, available are <code>"a"</code>, <code>"b"</code>, and <code>"c"</code></dd>
<dt>...</dt>
<dd>Additional arguments for the specific RCI method</dd></dl>

Arguments

Calculate the categories based on the cutoff — calc_cutoff_from_data.default

<dl>

<dt>data</dt>
<dd>Prepped data with class <code>cs_*</code></dd>


<dt>m_functional</dt>
<dd>Mean of functional population</dd>


<dt>sd_functional</dt>
<dd>SD of functional population</dd>


<dt>type</dt>
<dd>Cutoff type, available are <code>"a"</code>, <code>"b"</code>, and <code>"c"</code></dd>


<dt>...</dt>
<dd>Additional arguments for the specific RCI method</dd>

</dl>

calc_cutoff_from_data.default: Calculate the categories based on the cutoff

Description

Usage

Arguments