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

In clinicalsignificance: A Toolbox for Clinical Significance Analyses in Intervention Studies

Fictional "Columbo's Detectives" Data with Missing Values

Description

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.

Usage

columbo

Format

A tibble with 160 rows and 7 variables:

detective_id

An integer representing the unique identifier for each detective.

group

A factor indicating the training group ("Columbo's Training" or "Control").

age

An integer representing the detective's age.

gender

A factor for the detective's gender ("m", "f", or "d").

job_frustration

A numeric score from 0-10 indicating job frustration.

time

A factor for the measurement occasion ("pre" or "post").

clearance

A numeric value for the outcome, the Case Clearance Rate (in %). This variable contains NA values.

Source

Simulated data where missing values in the post-intervention outcome were introduced via a Missing At Random (MAR) mechanism. The probability of missingness depends on observed variables (higher job_frustration and lower post-intervention scores increase the likelihood of data being missing).

clinicalsignificance documentation built on Nov. 27, 2025, 5:06 p.m.