R: Basic Sensitivity Analysis of Epidemiological Results

# Basic Sensitivity Analysis of Epidemiological Results

## Documentation for package ‘episensr’ version 1.3.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

episensr-package | episensr: Basic sensitivity analysis of epidemiological results
%>% | Pipe bias functions
boot.bias | Bootstrap resampling for selection and misclassification bias models.
confounders | Sensitivity analysis to correct for unknown or unmeasured confounding without effect modification
confounders.array | Sensitivity analysis for unmeasured confounders based on confounding imbalance among exposed and unexposed
confounders.emm | Sensitivity analysis to correct for unknown or unmeasured confounding in the presence of effect modification
confounders.evalue | Compute E-value to assess bias due to unmeasured confounder.
confounders.ext | Sensitivity analysis for unmeasured confounders based on external adjustment
confounders.limit | Bounding the bias limits of unmeasured confounding.
confounders.poly | Sensitivity analysis to correct for unknown or unmeasured polychotomous confounding without effect modification
episensr | episensr: Basic sensitivity analysis of epidemiological results
mbias | Sensitivity analysis to correct for selection bias caused by M bias.
misclassification | Sensitivity analysis for disease or exposure misclassification.
misclassification.cov | Sensitivity analysis for covariate misclassification.
multidimBias | Multidimensional sensitivity analysis for different sources of bias
multiple.bias | Extract adjusted 2-by-2 table from episensr object
plot.episensr.booted | Plot of bootstrap simulation output for selection and misclassification bias
plot.episensr.probsens | Plot(s) of probabilistic bias analyses
plot.mbias | Plot DAGs before and after conditioning on collider (M bias)
print.episensr | Print associations for episensr class
print.episensr.booted | Print bootstrapped confidence intervals
print.mbias | Print association corrected for M bias
probsens | Probabilistic sensitivity analysis.
probsens.conf | Probabilistic sensitivity analysis for unmeasured confounding.
probsens.irr | Probabilistic sensitivity analysis for exposure misclassification of person-time data and random error.
probsens.irr.conf | Probabilistic sensitivity analysis for unmeasured confounding of person-time data and random error.
probsens.sel | Probabilistic sensitivity analysis for selection bias.
selection | Sensitivity analysis to correct for selection bias.