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bdribs: Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data

Implements Bayesian inference to detect signal from blinded clinical trial when total number of adverse events of special concerns and total risk exposures from all patients are available in the study. For more details see the article by Mukhopadhyay et. al. (2018) titled 'Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data', in Pharmaceutical Statistics (to appear).

Version: 1.0.4
Depends: R (≥ 3.1.0), rjags
Published: 2018-08-31
DOI: 10.32614/CRAN.package.bdribs
Author: Saurabh Mukhopadhyay [aut, cre]
Maintainer: Saurabh Mukhopadhyay <saurabh.mukhopadhyay at abbvie.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: bdribs results

Documentation:

Reference manual: bdribs.pdf

Downloads:

Package source: bdribs_1.0.4.tar.gz
Windows binaries: r-devel: bdribs_1.0.4.zip, r-release: bdribs_1.0.4.zip, r-oldrel: bdribs_1.0.4.zip
macOS binaries: r-release (arm64): bdribs_1.0.4.tgz, r-oldrel (arm64): bdribs_1.0.4.tgz, r-release (x86_64): bdribs_1.0.4.tgz, r-oldrel (x86_64): bdribs_1.0.4.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.