calc_anchor.cs_anchor_individual_within

Anchor Calculations for Individual Results

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

calc_anchor.cs_anchor_individual_within function

<dl><dt>mid_improvement</dt>
<dd>Numeric, change that indicates a clinically
significant improvement</dd>
<dt>mid_deterioration</dt>
<dd>Numeric, change that indicates a clinically
significant deterioration</dd>
<dt>direction</dt>
<dd>Which direction is beneficial? Lower = -1, better = 1</dd>
<dt>ci_level</dt>
<dd>Numeric, desired confidence interval.</dd></dl>

Arguments

Anchor Calculations for Individual Results — calc_anchor.cs_anchor_individual_within

<dl>

<dt>mid_improvement</dt>
<dd>Numeric, change that indicates a clinically
significant improvement</dd>


<dt>mid_deterioration</dt>
<dd>Numeric, change that indicates a clinically
significant deterioration</dd>


<dt>direction</dt>
<dd>Which direction is beneficial? Lower = -1, better = 1</dd>


<dt>ci_level</dt>
<dd>Numeric, desired confidence interval.</dd>

</dl>

calc_anchor.cs_anchor_individual_within: Anchor Calculations for Individual Results

Description

Usage

Arguments