Nothing
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>.
Getting started
README.md
Analyzing Clinical Significance: The Anchor-Based Approach"
Analyzing Clinical Significance: The Combined Approach"
Analyzing Clinical Significance: The Distribution-Based Approach"
Analyzing Clinical Significance: The Percentage-Change Approach"
Analyzing Clinical Significance: The Statistical Approach"
Browse package contents
Package details |
|
|---|---|
| Author | Benedikt Claus [aut, cre] (ORCID: <https://orcid.org/0000-0001-9501-0954>) |
| Maintainer | Benedikt Claus <benediktclaus@outlook.com> |
| License | GPL (>= 3) |
| Version | 3.0.0 |
| URL | https://benediktclaus.github.io/clinicalsignificance/ https://github.com/benediktclaus/clinicalsignificance |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the clinicalsignificance package in your browser
Any scripts or data that you put into this service are public.
