Interface to 'episensr' for Sensitivity Analysis of Epidemiological Results

API for using 'episensr', Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. See < https://cran.r-project.org/package=episensr>.

apisensr

apisensr provides an interactive web app for the R package episensr. The R package episensr allows to do basic sensitivity analysis of epidemiological results as described in Applying Quantitative Bias Analysis to Epidemiological Data, 2^nd ed. by Matthew P. Fox, Richard F. MacLehose, and Timothy L. Lash (ISBN: 978-3-030-82672-7, bias.analysis). Example of using apisensr is available in Banack, Smith and Bodnar: 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).

License

This package is free and open source software, licensed under GPL-2.

Citation

To cite apisensr, please use:

citation("apisensr")
#> To cite package 'apisensr' in publications use:
#> 
#>   Haine, Denis (2026). The apisensr Shiny app package: interface to episensr for
#>   sensitivity analysis of epidemiological results. R package version 2.0.1.
#>   https://codeberg.org/dhaine/apisensr. doi: 10.32614/CRAN.package.apisensr.
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Misc{,
#>     title = {The apisensr Shiny app package: interface to episensr for sensitivity analysis of epidemiological results},
#>     author = {Denis Haine},
#>     year = {2026},
#>     note = {R package version 2.0.1},
#>     doi = {10.32614/CRAN.package.apisensr},
#>     url = {https://codeberg.org/dhaine/apisensr},
#>   }

Installation

You can get the latest release from CRAN:

install.packages('apisensr')

Or install the development version from Codeberg with remotes package:

#install.packages("remotes")
remotes::install_git("https://codeberg.org/dhaine/apisensr", ref = "develop")

How to run apisensr

library(apisensr)
run_app()

Please note that the apisensr project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.