Man pages for dhaine/episensr
Basic Sensitivity Analysis of Epidemiological Results
| boot.bias | Bootstrap resampling for selection and misclassification bias... |
| confounders | Sensitivity analysis to correct for unknown or unmeasured... |
| confounders.array | Sensitivity analysis for unmeasured confounders based on... |
| confounders.emm | Sensitivity analysis to correct for unknown or unmeasured... |
| 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. |
| confounders.poly | Sensitivity analysis to correct for unknown or unmeasured... |
| episensr-package | episensr: Basic sensitivity analysis of epidemiological... |
| mbias | Sensitivity analysis to correct for selection bias caused by... |
| misclassification | Sensitivity analysis for disease or exposure... |
| misclassification.cov | Sensitivity analysis for covariate misclassification. |
| multidimBias | Multidimensional sensitivity analysis for different sources... |
| multiple.bias | Extract adjusted 2-by-2 table from episensr object |
| 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 | Probabilistic sensitivity analysis. |
| probsens.conf | Probabilistic sensitivity analysis for unmeasured... |
| probsens.irr | Probabilistic sensitivity analysis for exposure... |
| probsens.irr.conf | Probabilistic sensitivity analysis for unmeasured confounding... |
| probsens.sel | Probabilistic sensitivity analysis for selection bias. |
| selection | Sensitivity analysis to correct for selection bias. |
