https://github.com/bips-hb/srsim
An R package for simulating spontaneous reports
https://github.com/bips-hb/srsim
binary-data pharmacovigilance simulator
Last synced: about 2 months ago
JSON representation
An R package for simulating spontaneous reports
- Host: GitHub
- URL: https://github.com/bips-hb/srsim
- Owner: bips-hb
- License: gpl-3.0
- Created: 2018-01-18T08:49:10.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2025-02-10T16:15:17.000Z (11 months ago)
- Last Synced: 2025-02-10T17:26:25.517Z (11 months ago)
- Topics: binary-data, pharmacovigilance, simulator
- Language: R
- Size: 117 KB
- Stars: 5
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
# Simulating Spontaneous Reporting Systems (SRSim)
[](https://github.com/bips-hb/srsim/actions/workflows/R-CMD-check.yaml)
Spontaneous reporting systems are used in the field of pharmacovigilance to detect (previously unknown) associations between drugs and adverse events (AEs). This `R` package allows for simulating large spontaneous reporting data sets. See https://srs.bips.eu/ for an example on how this simulator could be used.
### Installation
To install, simply type in R
```R
devtools::install_github("bips-hb/srsim")
```
### Usage
See for usage the function descriptions, especially
```R
?SRSim::simulateSRS
```
### References
Please cite
__Adverse Drug Reaction or Innocent Bystander? A Systematic Comparison of Statistical Discovery Methods for Spontaneous Reporting Systems__\
L.J. Dijkstra, M. Garling, R. Foraita & I. Pigeot\
*Pharmacoepidemiology and Drug Safety* (2020)\
DOI:10.1002/PDS.4970
### Acknowledgements
We gratefully acknowledge the financial support from the innovation fund (“Innovationsfonds”) of the Federal Joint Committee in Germany (grant number: 01VSF16020).
### Author
Louis Dijkstra