garden_club_sensitive

A simulated dataset specifically designed to be "sensitive" to the choice
of a Minimal Important Difference (MID). The mean change score is
deliberately set to be near common MID thresholds, with a small standard
deviation, making it perfect for demonstrating MID-based sensitivity analyses.

datasets

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

garden_club_sensitive function

A tibble with 200 rows and 3 variables:<dl>
<dt>id</dt>
<dd>An integer representing the unique participant identifier.</dd><dt>time</dt>
<dd>A numeric value for the measurement occasion (<code>1</code> = pre, <code>2</code> = post).</dd><dt>gei_score</dt>
<dd>A numeric value for the outcome, the score on the fictional Gardener Envy Inventory (GEI).</dd>
</dl>

Format

Fictional "Garden Club" Data for MID Sensitivity Analysis — garden_club_sensitive

A tibble with 200 rows and 3 variables:<dl>
<dt>id</dt>
<dd>An integer representing the unique participant identifier.</dd>

<dt>time</dt>
<dd>A numeric value for the measurement occasion (<code>1</code> = pre, <code>2</code> = post).</dd>

<dt>gei_score</dt>
<dd>A numeric value for the outcome, the score on the fictional Gardener Envy Inventory (GEI).</dd>


</dl>

garden_club_sensitive: Fictional "Garden Club" Data for MID Sensitivity Analysis

Description

Usage

Arguments

Format

See Also