calc_cutoff_from_data.cs_ha

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.cs_ha function

<dl><dt>m_clinical</dt>
<dd>Mean of clinical population</dd>
<dt>sd_clinical</dt>
<dd>SD of clinical population</dd>
<dt>m_post</dt>
<dd>Mean of post measurement</dd>
<dt>sd_post</dt>
<dd>SD of post measurement</dd>
<dt>reliability</dt>
<dd>Instrument's reliability</dd>
<dt>critical_value</dt>
<dd>The critical value for the RCI decision, should be
1.65 if significance_level = 0.05</dd></dl>

Arguments

Calculate cs_indiv — calc_cutoff_from_data.cs_ha

<dl>

<dt>m_clinical</dt>
<dd>Mean of clinical population</dd>


<dt>sd_clinical</dt>
<dd>SD of clinical population</dd>


<dt>m_post</dt>
<dd>Mean of post measurement</dd>


<dt>sd_post</dt>
<dd>SD of post measurement</dd>


<dt>reliability</dt>
<dd>Instrument's reliability</dd>


<dt>critical_value</dt>
<dd>The critical value for the RCI decision, should be
1.65 if significance_level = 0.05</dd>

</dl>

calc_cutoff_from_data.cs_ha: Calculate cs_indiv

Description

Usage

Arguments