Author: Denis Haine

# apisensr: episensr as a Shiny Application

#### Denis Haine

The package `apisensr` provides a graphical interface to the package `episensr`, quantitative bias analysis for epidemiologic data following methods compiled by Fox et al. in their book “Applying Quantitative Bias Analysis to Epidemiologic Data, 2nd ed.”. A demonstration of its use is available in the paper by 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).

To run `apisensr`:

    library(apisensr)
    run_app()

The following functions are available in `episensr` and `apisensr`. Please refer to `episensr` for more details about these functions, either on CRAN or the episensr website.

Functions available in: | `episensr` | `apisensr app`
--- | --- | ---
selection | x | x
probsens.sel | x | x
mbias | x | x
confounders | x | x
confounders.emm | x | x
confounders.poly | x | x
probsens_conf | x | x
confounders.array | x | x
confounders.evalue | x |
confounders.ext | x | x
confounders.limit | x | x
probsens.irr.conf | x |
misclass | x | x
probsens | x | x
misclass_cov | x | x
probsens.irr | x |
bootstrap | x |
multidimBias | x | x