Man pages for dhaine/episensr
Basic Sensitivity Analysis of Epidemiological Results

boot.biasBootstrap resampling for selection and misclassification bias...
confoundersSensitivity analysis to correct for unknown or unmeasured...
confounders.emmSensitivity analysis to correct for unknown or unmeasured...
confounders.limitBounding the bias limits of unmeasured confounding.
confounders.polySensitivity analysis to correct for unknown or unmeasured...
episensr-packageBasic sensitivity analysis of epidemiological results
mbiasSensitivity analysis to correct for selection bias caused by...
misclassificationSensitivity analysis for disease or exposure...
misclassification_covSensitivity analysis for covariate misclassification.
multidimBiasMultidimensional sensitivity analysis for different sources...
plot.episensr.bootedPlot of bootstrap simulation output for selection and...
plot.mbiasPlot DAGs before and after conditioning on collider (M bias)
print.episensrPrint associations for episensr class
print.episensr.bootedPrint bootstrapped confidence intervals
print.mbiasPrint association corrected for M bias
probsensProbabilistic sensitivity analysis.
probsens.confProbabilistic sensitivity analysis for unmeasured...
probsens.irrProbabilistic sensitivity analysis for exposure...
probsens.irr.confProbabilistic sensitivity analysis for unmeasured confounding...
probsens.selProbabilistic sensitivity analysis for selection bias.
selectionSensitivity analysis to correct for selection bias.
dhaine/episensr documentation built on Nov. 25, 2017, 3:30 p.m.