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clinicalsignificance

The clinicalsignificance R package provides a comprehensive toolkit for analyzing clinical significance in intervention studies.

Why this package? While statistical significance asks: “Is this effect unlikely due to chance?” Clinical significance asks: “Does this intervention make a meaningful difference for the patient?”

This package empowers researchers and practitioners to move beyond p-values and assess the practical relevance of treatment outcomes.

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Install

install.packages('clinicalsignificance')

Monthly Downloads

237

Version

3.0.0

License

GPL (>= 3)

Issues

Pull Requests

Stars

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Maintainer

Benedikt Claus

Last Published

November 27th, 2025

Functions in clinicalsignificance (3.0.0)

create_summary_table

Generic For Creating Summary Tables
create_summary_table.cs_distribution

Create Summary Table for Distribution-Based Approach
cs_combined

Combined Analysis of Clinical Significance
cs_distribution

Distribution-Based Analysis of Clinical Significance
cs_anchor

Anchor-Based Analysis of Clinical Significance
cs_get_data

Get Data From A cs_analysis Object
cs_get_cutoff_descriptives

Get Descriptives Used In The Cutoff Calculation
cs_statistical

Statistical Analysis of Clinical Significance
cs_get_cutoff

Get Used Cutoff And Type From A cs_analysis Object
generate_plotting_band.cs_gln

Generate RCI Band for GLN Method
generate_plotting_band.cs_nk

Generate RCI Band for NK Method
generate_plotting_band.cs_ha

Generate RCI Band for HA Method
generate_plotting_band.cs_percentage

Generate RCI Band for the Percentage-Change Approach
garden_club

Fictional "Garden Club" Pre-Post Intervention Data
columbo

Fictional "Columbo's Detectives" Data with Missing Values
cs_percentage

Percentage-Change Analysis of Clinical Significance
cs_get_reliability

Get Reliability Of A cs_analysis Object
cs_get_model

Get The HLM Model From A cs_analysis Object
generate_plotting_band.cs_en

Generate RCI Band for EN Method
generate_plotting_band.cs_hll

Generate RCI Band for HLL Method
generate_plotting_band.cs_jt

Generate RCI Band for JT Method
create_summary_table.cs_anchor_individual_within

Create Summary Table for Anchor-Based Approach
cs_get_n

Get Number Of Participants From A cs_analysis Object
plot.cs_anchor_individual_within

Plot an Object of Class cs_anchor_individual_within
hechler_2014

Chronic Pain Data
generate_plotting_band.cs_anchor_individual_within

Generate RCI Band for the Individual Anchor-Based Approach
plot.cs_combined

Plot an Object of Class cs_combined
print.cs_anchor_individual_within

Print Method for the Anchor-Based Approach for Individuals
summary.cs_anchor_individual_within

Summary Method for the Anchor-Based Approach
print.cs_anchor_group_within

Print Method for the Anchor-Based Approach for Groups (Within)
garden_club_sensitive

Fictional "Garden Club" Data for MID Sensitivity Analysis
generate_plotting_band

Generic to Calculate RCI Band Data for Plotting
plot.cs_statistical

Plot an Object of Class cs_statistical
print.cs_anchor_group_between

Print Method for the Anchor-Based Approach for Groups (Between)
plot.cs_anchor_group_between

Plot an Object of Class cs_anchor_group_between
summary.cs_combined

Summary Method for the Combined Approach
jacobson_1989

Marital Therapy Data
print.cs_combined

Print Method for the Combined Approach
cs_get_summary

Get A Summary Table From A cs_analysis Object
summary.cs_statistical

Summary Method for the Statistical Approach
print.cs_percentage

Print Method for the Percentange-Change Approach
plot.cs_distribution

Plot an Object of Class cs_distribution
plot.cs_anchor_group_within

Plot an Object of Class cs_anchor_group_within
plot.cs_percentage

Plot an Object of Class cs_percentage
summary.cs_percentage

Summary Method for the Percentage-Change Approach
summary.cs_anchor_group_within

Summary Method for the Anchor-Based Approach for Groups (Within)
summary.cs_distribution

Summary Method for the Distribution-Based Approach
summary.cs_anchor_group_between

Summary Method for the Anchor-Based Approach for Groups (Between)
trackmania

Fictional "Trackmania" Racing Data for Interrupted Time-Series
print.cs_distribution

Print Method for the Distribution-Based Approach
print.cs_statistical

Print Method for the Statistical Approach
calc_anchor.cs_anchor_group_between

Anchor Calculations for Group Effect Between
calc_rci.cs_gln

RCI for the Gulliksen, Lord & Novick method
calc_rci.cs_ha

RCI for the Hageman & Arrindell
calc_anchor

Generic to Calculate Anchor-Based Results
calc_rci.cs_en

RCI for the Edwards method
calc_cutoff_from_data.default

Calculate the categories based on the cutoff
calc_anchor.cs_anchor_group_within

Anchor Calculations for Group Effect Within
anxiety

Anxiety Data
calc_cutoff_from_data.cs_ha

Calculate cs_indiv
calc_anchor.cs_anchor_individual_within

Anchor Calculations for Individual Results
calc_cutoff_from_data

Generic for Statistical Approach
calc_rci

Generic to Calculate RCI and Associated Change
antidepressants

Antidepressant Data
calc_percentage

Calculate Change for the Percentage-Change Approach
claus_2020

Placebo Amplification Data
cs_get_augmented_data

Extract Augmented Data from a cs_analysis Object
calc_rci.cs_jt

RCI for the Jacobson & Truax method
anxiety_complete

Anxiety Data (Complete)
calc_rci.cs_nk

RCI for the NK method
create_summary_table.cs_percentage

Create Summary Table for Percentage-Change Approach
create_summary_table.cs_statistical

Create Summary Table for Statistical Approach
calc_rci.cs_hll

RCI for the Hsu, Lin & Lord method
calc_rci.cs_hlm

Calc RCI for the HLM method
create_summary_table.cs_combined

Create Summary Table for Combined Approach