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bdribs (version 1.0.4)

Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data

Description

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).

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Version

Install

install.packages('bdribs')

Monthly Downloads

221

Version

1.0.4

License

GPL-2

Maintainer

Saurabh Mukhopadhyay

Last Published

August 31st, 2018

Functions in bdribs (1.0.4)

bdribs.sensitivity

sensitivity plot - plot of range of posterior probability corresponding to a range of background rate
bdribs

bdribs (Bayesian Detection of Risk using Inference on Blinded Safety data)
bdribs.contour

contour plot - draws plot (optional) and returns a matrix/grid of posterior values