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-any)BI_1.2.0.zip(r-4.6-any)BI_1.2.0.zip(r-4.5-any)
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✨
DESCRIPTION
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 8 scripts 501 downloads 81 mentions 1 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK98
source / vignettesOK156
linux-releaseOK92
macos-releaseOK127
macos-oldrelOK176
windows-develOK55
windows-releaseOK49
windows-oldrelOK49
wasm-releaseOK69

Exports:BI

Dependencies: