apisensr: episensr as a Shiny Application

In apisensr: Interface to 'episensr' for Sensitivity Analysis of Epidemiological Results

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

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, 2^nd^ 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 |

apisensr documentation built on June 8, 2025, 10:11 a.m.