apisensr-package: *apisensr*: Interface to 'episensr' for sensitivity analysis...
In apisensr: Interface to 'episensr' for Sensitivity Analysis of Epidemiological Results
apisensr-package R Documentation
apisensr: Interface to 'episensr' for sensitivity analysis of epidemiological results
Description
API for using 'episensr' which provides basic sensitivity analysis
of the observed relative risks adjusting for unmeasured confounding and
misclassification of the exposure/outcome, or both.
Author(s)
Maintainer: Denis Haine cheval@zaclys.net (ORCID)
References
'episensr' on R CRAN https://cran.r-project.org/package=episensr and
https://dhaine.codeberg.page/episensr/.
Banack et al. Application of a Web-based Tool for Quantitative Bias
Analysis: The Example of Misclassification Due to Self-reported Body Mass
Index. Epidemiology 2024;35(3):359-367.
See Also
Useful links:
Examples
## Not run:
run_app()
## End(Not run)
apisensr documentation built on June 8, 2025, 10:11 a.m.
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| apisensr-package | R Documentation |
apisensr: Interface to 'episensr' for sensitivity analysis of epidemiological results
Description
API for using 'episensr' which provides basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both.
Author(s)
Maintainer: Denis Haine cheval@zaclys.net (ORCID)
References
'episensr' on R CRAN https://cran.r-project.org/package=episensr and https://dhaine.codeberg.page/episensr/.
Banack et al. Application of a Web-based Tool for Quantitative Bias Analysis: The Example of Misclassification Due to Self-reported Body Mass Index. Epidemiology 2024;35(3):359-367.
See Also
Useful links:
Examples
## Not run:
run_app()
## End(Not run)
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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