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 |
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