Package: BI 1.2.0

BI: Blinding Assessment Indexes for Randomized, Controlled, Clinical Trials

Generate the James Blinding Index, as described in James et al (1996) <https://pubmed.ncbi.nlm.nih.gov/8841652/> and the Bang Blinding Index, as described in Bang et al (2004) <https://pubmed.ncbi.nlm.nih.gov/15020033/>. These are measures to assess whether or not satisfactory blinding has been maintained in a randomized, controlled, clinical trial. These can be generated for trial subjects, research coordinators and principal investigators, based upon standardized questionnaires that have been administered, to assess whether or not they can correctly guess to which treatment arm (e.g. placebo or treatment) subjects were assigned at randomization.

Authors:Marc Schwartz [aut, cre], Nate Mercaldo [aut]

BI_1.2.0.tar.gz
BI_1.2.0.zip(r-4.7)BI_1.2.0.zip(r-4.6)BI_1.2.0.zip(r-4.5)
BI_1.2.0.tgz(r-4.6-any)BI_1.2.0.tgz(r-4.5-any)
BI_1.2.0.tar.gz(r-4.7-any)BI_1.2.0.tar.gz(r-4.6-any)
BI_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
BI/json (API)

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

Bug tracker:https://github.com/marcschwartz/bi/issues

On CRAN:

Conda:

4.08 score 2 stars 2 packages 10 scripts 770 downloads 81 mentions 1 exports 0 dependencies

Last updated from:324e836557. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK100
source / vignettesOK113
linux-release-x86_64OK100
macos-release-arm64OK108
macos-oldrel-arm64OK134
windows-develOK75
windows-releaseOK65
windows-oldrelOK86
wasm-releaseOK92

Exports:BI

Dependencies: