calc_rci.cs_jt

RCI for the Jacobson &amp; Truax method

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_rci.cs_jt function

<dl><dt>sd_pre</dt>
<dd>Pre measurement SD</dd>
<dt>reliability</dt>
<dd>Instrument reliability</dd>
<dt>direction</dt>
<dd>Beneficial intervention effect for given instrument. 1 =
higher is better, -1 = lower is better</dd>
<dt>critical_value</dt>
<dd>Critical RCI value, typically 1.96</dd></dl>

Arguments

RCI for the Jacobson &amp; Truax method — calc_rci.cs_jt

<dl>

<dt>sd_pre</dt>
<dd>Pre measurement SD</dd>


<dt>reliability</dt>
<dd>Instrument reliability</dd>


<dt>direction</dt>
<dd>Beneficial intervention effect for given instrument. 1 =
higher is better, -1 = lower is better</dd>


<dt>critical_value</dt>
<dd>Critical RCI value, typically 1.96</dd>

</dl>

calc_rci.cs_jt: RCI for the Jacobson & Truax method

Description

Usage

Arguments