clinicalsignificance: Determine the Clinical Significance in Clinical Trials
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 as proposed by Jacobson et al., (1984) <doi:10.1016/S0005-7894(84)80002-7>.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | checkmate, crayon, dplyr, ggplot2, insight, lme4, magrittr, purrr, rlang, tibble, tidyr |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), tidyverse, vdiffr |
| Published: | 2022-06-03 |
| Author: | Benedikt Claus 
[aut, cre] |
| Maintainer: | Benedikt Claus <b.claus at pedscience.de> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | clinicalsignificance results |
Documentation:
| Reference manual: | clinicalsignificance.pdf |
| Vignettes: |
Clinical Significance Cutoffs Clinical Significance Plots Get started |
Downloads:
| Package source: | clinicalsignificance_1.0.0.tar.gz |
| Windows binaries: | r-devel: clinicalsignificance_1.0.0.zip, r-release: clinicalsignificance_1.0.0.zip, r-oldrel: clinicalsignificance_1.0.0.zip |
| macOS binaries: | r-release (arm64): clinicalsignificance_1.0.0.tgz, r-oldrel (arm64): clinicalsignificance_1.0.0.tgz, r-release (x86_64): clinicalsignificance_1.0.0.tgz, r-oldrel (x86_64): clinicalsignificance_1.0.0.tgz |
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