episensr-package |
Basic sensitivity analysis of epidemiological results |
confounders |
Simple sensitivity analysis to correct for unknown or unmeasured confounding without effect modification |
confounders, confounders.emm, confounders.limit |
Simple sensitivity analysis to correct for unknown or unmeasured polychotomous confounding without effect modification |
confounders, confounders.emm, confounders.poly |
Bounding the bias limits of unmeasured confounding. |
confounders, confounders.poly, confounders.limit |
Simple sensitivity analysis to correct for unknown or unmeasured confounding with effect measure modification |
confounders.emm |
Simple sensitivity analysis to correct for unknown or unmeasured confounding with effect measure modification |
confounders.emm, confounders.poly |
Simple sensitivity analysis to correct for unknown or unmeasured confounding without effect modification |
confounders.limit |
Bounding the bias limits of unmeasured confounding. |
confounders.poly |
Simple sensitivity analysis to correct for unknown or unmeasured polychotomous confounding without effect modification |
episensr |
Basic sensitivity analysis of epidemiological results |
misclassification |
Simple sensitivity analysis for misclassification |
multidimBias |
Multidimensional sensitivity analysis for different sources of bias |
probsens |
Probabilistic sensitivity analysis. |
probsens, probsens.conf |
Probabilistic sensitivity analysis for selection bias. |
probsens, probsens.sel |
Probabilistic sensitivity analysis for unmeasured confounding. |
probsens.conf |
Probabilistic sensitivity analysis for unmeasured confounding. |
probsens.conf, probsens.sel |
Probabilistic sensitivity analysis. |
probsens.sel |
Probabilistic sensitivity analysis for selection bias. |
selection |
Simple sensitivity analysis to correct for selection bias using estimates of the selection proportions |