calc_percentage

This is an internal generic and should not be called directly. Depending on
the different percent change cutoff requested by the user, this function
calculates the relative change according clinical significance category for
each patient.

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_percentage function

<dl><dt>data</dt>
<dd>A pre-processed data frame with at least columns <code>change</code> and
<code>pre</code></dd>
<dt>pct_improvement</dt>
<dd>Numeric, the required percent change cutoff to infer
an improvement</dd>
<dt>pct_deterioration</dt>
<dd>Numeric, the required percent change cutoff to infer
a deterioration</dd></dl>

Arguments

Calculate Change for the Percentage-Change Approach — calc_percentage

<dl>

<dt>data</dt>
<dd>A pre-processed data frame with at least columns <code>change</code> and
<code>pre</code></dd>


<dt>pct_improvement</dt>
<dd>Numeric, the required percent change cutoff to infer
an improvement</dd>


<dt>pct_deterioration</dt>
<dd>Numeric, the required percent change cutoff to infer
a deterioration</dd>

</dl>

calc_percentage: Calculate Change for the Percentage-Change Approach

Description

Usage

Value

Arguments