Package: clinicalsignificance 3.0.0.9000

Benedikt Schäfer

clinicalsignificance: A Toolbox for Clinical Significance Analyses in Intervention Studies

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>.

Authors:Benedikt Schäfer [aut, cre]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
clinicalsignificance/json (API)

# Install 'clinicalsignificance' in R:
install.packages('clinicalsignificance', repos = c('https://benediktschfr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/benediktschfr/clinicalsignificance/issues

Pkgdown/docs site:https://benediktschfr.github.io

Datasets:

On CRAN:

Conda:

5.70 score 2 stars 25 scripts 532 downloads 19 exports 58 dependencies

Last updated from:7a468cf83f. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE209
source / vignettesOK313
linux-releaseNOTE200
macos-releaseNOTE224
macos-oldrelNOTE230
windows-develNOTE132
windows-releaseNOTE112
windows-oldrelNOTE115
wasm-releaseOK413

Exports:calc_anchorcalc_cutoff_from_datacalc_percentagecalc_rcicreate_summary_tablecs_anchorcs_combinedcs_distributioncs_get_augmented_datacs_get_cutoffcs_get_cutoff_descriptivescs_get_datacs_get_modelcs_get_ncs_get_reliabilitycs_get_summarycs_percentagecs_statisticalgenerate_plotting_band

Dependencies:backportsBayesFactorbayestestRbootcheckmateclicodacontfraccpp11datawizarddeSolvedplyrellipticfarvergenericsggplot2gluegtablehypergeoinsightisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsminqamvtnormnlmenloptrpbapplypillarpkgconfigpurrrR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalessnakecasestringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Analyzing Clinical Significance: The Distribution-Based Approach
Introduction | Reliable Change for Pre-Post Data | The Jacobson & Truax (JT) Method | Alternative RCI Methods | Reliable Change for Longitudinal Data (HLM) | Visualizing HLM Results | Summary and Next Steps
Rendered fromdistribution-based-approach.Rmdusingknitr::rmarkdown

Last update: 2025-09-05
Started: 2023-09-26

Analyzing Clinical Significance: The Anchor-Based Approach
Introduction | Individual-Level Analysis | A Basic Example | Visualizing Individual Change | Analyzing by Group | Handling "Positive" Outcomes | Group-Level Analysis | Within-Group Analysis | Between-Group Comparison | Summary and Next Steps
Rendered fromanchor-based-approach.Rmdusingknitr::rmarkdown

Last update: 2025-09-05
Started: 2023-09-26

Analyzing Clinical Significance: The Percentage-Change Approach
Introduction | Basic Analysis | Visualizing the Results | Grouped Analysis | Using Different Cutoffs for Improvement and Deterioration
Rendered frompercentage-change-approach.Rmdusingknitr::rmarkdown

Last update: 2025-09-05
Started: 2023-09-26

Analyzing Clinical Significance: The Statistical Approach
Introduction | Defining Populations and Calculating a Cutoff | Example Analysis | Visualizing the Results | Grouped Analysis | Summary and Next Steps
Rendered fromstatistical-approach.Rmdusingknitr::rmarkdown

Last update: 2025-09-05
Started: 2023-09-26

Analyzing Clinical Significance: The Combined Approach
Introduction | The Classic Jacobson & Truax (JT) Approach | Example Analysis | Visualizing the JT Approach | The Claus, Wager & Bonnet (CWB) Approach | Visualizing the CWB Approach | Summary and Next Steps
Rendered fromcombined-approach.Rmdusingknitr::rmarkdown

Last update: 2025-09-05
Started: 2023-09-26

Readme and manuals

Help Manual

Help pageTopics
Antidepressant Dataantidepressants
Anxiety Dataanxiety
Anxiety Data (Complete)anxiety_complete
Placebo Amplification Dataclaus_2020
Fictional "Columbo's Detectives" Data with Missing Valuescolumbo
Anchor-Based Analysis of Clinical Significancecs_anchor
Combined Analysis of Clinical Significancecs_combined
Distribution-Based Analysis of Clinical Significancecs_distribution
Extract Augmented Data from a cs_analysis Objectcs_get_augmented_data cs_get_augmented_data.cs_anchor_individual_within cs_get_augmented_data.cs_combined cs_get_augmented_data.cs_distribution cs_get_augmented_data.cs_percentage cs_get_augmented_data.cs_statistical cs_get_augmented_data.default
Get Used Cutoff And Type From A cs_analysis Objectcs_get_cutoff
Get Descriptives Used In The Cutoff Calculationcs_get_cutoff_descriptives
Get Data From A cs_analysis Objectcs_get_data
Get The HLM Model From A cs_analysis Objectcs_get_model
Get Number Of Participants From A cs_analysis Objectcs_get_n
Get Reliability Of A cs_analysis Objectcs_get_reliability
Get A Summary Table From A cs_analysis Objectcs_get_summary cs_get_summary.cs_anchor_group_between cs_get_summary.cs_anchor_group_within cs_get_summary.default
Percentage-Change Analysis of Clinical Significancecs_percentage
Statistical Analysis of Clinical Significancecs_statistical
Fictional "Garden Club" Pre-Post Intervention Datagarden_club
Fictional "Garden Club" Data for MID Sensitivity Analysisgarden_club_sensitive
Chronic Pain Datahechler_2014
Marital Therapy Datajacobson_1989
Plot an Object of Class cs_anchor_group_betweenplot.cs_anchor_group_between
Plot an Object of Class cs_anchor_group_withinplot.cs_anchor_group_within
Plot an Object of Class cs_anchor_individual_withinplot.cs_anchor_individual_within
Plot an Object of Class cs_combinedplot.cs_combined
Plot an Object of Class cs_distributionplot.cs_distribution
Plot an Object of Class cs_percentageplot.cs_percentage
Plot an Object of Class cs_statisticalplot.cs_statistical
Print Method for the Anchor-Based Approach for Groups (Between)print.cs_anchor_group_between
Print Method for the Anchor-Based Approach for Groups (Within)print.cs_anchor_group_within
Print Method for the Anchor-Based Approach for Individualsprint.cs_anchor_individual_within
Print Method for the Combined Approachprint.cs_combined
Print Method for the Distribution-Based Approachprint.cs_distribution
Print Method for the Percentange-Change Approachprint.cs_percentage
Print Method for the Statistical Approachprint.cs_statistical
Summary Method for the Anchor-Based Approach for Groups (Between)summary.cs_anchor_group_between
Summary Method for the Anchor-Based Approach for Groups (Within)summary.cs_anchor_group_within
Summary Method for the Anchor-Based Approachsummary.cs_anchor_individual_within
Summary Method for the Combined Approachsummary.cs_combined
Summary Method for the Distribution-Based Approachsummary.cs_distribution
Summary Method for the Percentage-Change Approachsummary.cs_percentage
Summary Method for the Statistical Approachsummary.cs_statistical
Fictional "Trackmania" Racing Data for Interrupted Time-Seriestrackmania