Man pages for episensr
Basic Sensitivity Analysis of Epidemiological Results
| boot.bias | Bootstrap resampling for selection and misclassification bias... |
| confounders | Uncontrolled confounding |
| confounders.array | Sensitivity analysis for unmeasured confounders based on... |
| confounders.evalue | Compute E-value to assess bias due to unmeasured confounder. |
| confounders.ext | Sensitivity analysis for unmeasured confounders based on... |
| confounders.limit | Bounding the bias limits of unmeasured confounding. |
| episensr-package | *episensr*: Basic Sensitivity Analysis for Epidemiological... |
| mbias | Sensitivity analysis to correct for selection bias caused by... |
| misclass | Misclassification of exposure or outcome |
| misclass_cov | Covariate misclassification |
| multidimBias | Multidimensional sensitivity analysis for different sources... |
| pipe | Pipe bias functions |
| plot.episensr.booted | Plot of bootstrap simulation output for selection and... |
| 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.conf_legacy | Legacy version of 'probsens.conf()'. |
| probsens.irr | Probabilistic sensitivity analysis for exposure... |
| probsens.irr.conf | Probabilistic sensitivity analysis for unmeasured confounding... |
| probsens.irr.conf_legacy | Legacy version of 'probsens.irr.conf()'. |
| probsens.irr_legacy | Legacy version of 'probsens.irr()'. |
| probsens_legacy | Legacy version of 'probsens()'. |
| selection | Selection bias. |
