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.arraySensitivity analysis for unmeasured confounders based on...
confounders.emmSensitivity analysis to correct for unknown or unmeasured...
confounders.evalueCompute E-value to assess bias due to unmeasured confounder.
confounders.extSensitivity analysis for unmeasured confounders based on...
confounders.limitBounding the bias limits of unmeasured confounding.
confounders.polySensitivity analysis to correct for unknown or unmeasured...
episensr-packageepisensr: Basic sensitivity analysis of epidemiological...
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...
multiple.biasExtract adjusted 2-by-2 table from episensr object
pipePipe bias functions
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 Dec. 15, 2018, 10:19 p.m.