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Description

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

CRAN_Status_Badge R CMDcheck Project Status: Active – The project has reached a stable, usablestate and is being activelydeveloped. Total CRANdownloads

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, 2nd 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 (2025). The apisensr Shiny app package: interface to
#>   episensr for sensitivity analysis of epidemiological results. R
#>   package version 2.0.0. 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 = {2025},
#>     note = {R package version 2.0.0},
#>     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.

Metadata

Version

2.0.0

License

Unknown

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