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
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 10 scripts 526 downloads 81 mentions 1 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK191
linux-release-x86_64OK98
macos-release-arm64OK110
macos-oldrel-arm64OK125
windows-develOK61
windows-releaseOK53
windows-oldrelOK59
wasm-releaseOK94

Exports:BI

Dependencies: