columbo

A simulated dataset from a fictional study evaluating a special training
program by Lieutenant Columbo for detectives. This dataset is specifically
designed to demonstrate the handling of missing data. Missing values were
introduced into the post-intervention outcome using a Missing At Random
(MAR) mechanism.

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

columbo function

A tibble with 160 rows and 7 variables:<dl>
<dt>detective_id</dt>
<dd>An integer representing the unique identifier for each detective.</dd><dt>group</dt>
<dd>A factor indicating the training group (<code>"Columbo's Training"</code> or <code>"Control"</code>).</dd><dt>age</dt>
<dd>An integer representing the detective's age.</dd><dt>gender</dt>
<dd>A factor for the detective's gender (<code>"m"</code>, <code>"f"</code>, or <code>"d"</code>).</dd><dt>job_frustration</dt>
<dd>A numeric score from 0-10 indicating job frustration.</dd><dt>time</dt>
<dd>A factor for the measurement occasion (<code>"pre"</code> or <code>"post"</code>).</dd><dt>clearance</dt>
<dd>A numeric value for the outcome, the Case Clearance Rate (in %). This variable contains <code>NA</code> values.</dd>
</dl>

Format

Fictional "Columbo's Detectives" Data with Missing Values — columbo

A tibble with 160 rows and 7 variables:<dl>
<dt>detective_id</dt>
<dd>An integer representing the unique identifier for each detective.</dd>

<dt>group</dt>
<dd>A factor indicating the training group (<code>"Columbo's Training"</code> or <code>"Control"</code>).</dd>

<dt>age</dt>
<dd>An integer representing the detective's age.</dd>

<dt>gender</dt>
<dd>A factor for the detective's gender (<code>"m"</code>, <code>"f"</code>, or <code>"d"</code>).</dd>

<dt>job_frustration</dt>
<dd>A numeric score from 0-10 indicating job frustration.</dd>

<dt>time</dt>
<dd>A factor for the measurement occasion (<code>"pre"</code> or <code>"post"</code>).</dd>

<dt>clearance</dt>
<dd>A numeric value for the outcome, the Case Clearance Rate (in %). This variable contains <code>NA</code> values.</dd>


</dl>

columbo: Fictional "Columbo's Detectives" Data with Missing Values

Description

Usage

Arguments

Format