README.md
In bips-hb/srsim: Spontaneous Reporting Simulator (SRSim)
Simulating Spontaneous Reporting Systems (SRSim)
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
devtools::install_github("bips-hb/srsim")
Usage
See for usage the function descriptions, especially
?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).
Contact
Louis Dijkstra\
Leibniz Institute for Prevention Research & Epidemiology
E-mail: dijkstra (at) leibniz-bips.de
bips-hb/srsim documentation built on Dec. 10, 2020, 3:16 p.m.
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Simulating Spontaneous Reporting Systems (SRSim)
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
devtools::install_github("bips-hb/srsim")
Usage
See for usage the function descriptions, especially
?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).
Contact
Louis Dijkstra\ Leibniz Institute for Prevention Research & Epidemiology E-mail: dijkstra (at) leibniz-bips.de
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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