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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.4.1 |
rolling linux/jammy R-4.5 | bdribs_1.0.4.1.tar.gz |
40.7 KiB |
1.0.4.1 |
rolling linux/noble R-4.5 | bdribs_1.0.4.1.tar.gz |
40.5 KiB |
1.0.4.1 |
rolling source/ R- | bdribs_1.0.4.1.tar.gz |
9.5 KiB |
1.0.4.1 |
latest linux/jammy R-4.5 | bdribs_1.0.4.1.tar.gz |
40.7 KiB |
1.0.4.1 |
latest linux/noble R-4.5 | bdribs_1.0.4.1.tar.gz |
40.5 KiB |
1.0.4.1 |
latest source/ R- | bdribs_1.0.4.1.tar.gz |
9.5 KiB |
1.0.4.1 |
2026-04-26 source/ R- | bdribs_1.0.4.1.tar.gz |
9.5 KiB |
1.0.4.1 |
2026-04-23 source/ R- | bdribs_1.0.4.1.tar.gz |
9.5 KiB |
1.0.4.1 |
2026-04-09 windows/windows R-4.5 | bdribs_1.0.4.1.zip |
43.0 KiB |
1.0.4 |
2025-04-20 source/ R- | bdribs_1.0.4.tar.gz |
9.5 KiB |