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bdribs  

Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data
View on CRAN: Click here


Download and install bdribs package within the R console
Install from CRAN:
install.packages("bdribs")

Install from Github:
library("remotes")
install_github("cran/bdribs")

Install by package version:
library("remotes")
install_version("bdribs", "1.0.4")



Attach the package and use:
library("bdribs")
Maintained by
Saurabh Mukhopadhyay
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-31
Latest Update: 2018-08-31
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).
How to cite:
Saurabh Mukhopadhyay (2018). bdribs: Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data. R package version 1.0.4, https://cran.r-project.org/web/packages/bdribs. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 1.0.4 (2018-08-31 19:50)
Other packages that cited bdribs R package
View bdribs citation profile
Other R packages that bdribs depends, imports, suggests or enhances
Complete documentation for bdribs
Functions, R codes and Examples using the bdribs R package
Some associated functions: bdribs.contour . bdribs . bdribs.sensitivity . 
Some associated R codes: bdribs.R . contour.R . initBDRIBS.R . sensitivity.R .  Full bdribs package functions and examples
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