Sensitivity Analyses for Unmeasured Confounding or Selection Bias in Observational Studies and Meta-Analyses


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Documentation for package ‘EValue’ version 2.0.0

Help Pages

bias_plot Plot bias factor as function of confounding relative risks
confounded_meta Estimates and inference for sensitivity analyses
evalues.HR Compute E-value for a hazard ratio and its confidence interval limits
evalues.MD Compute E-value for a difference of means and its confidence interval limits
evalues.OLS Compute E-value for a linear regression coefficient estimate
evalues.OR Compute E-value for an odds ratio and its confidence interval limits
evalues.RD Compute E-value for a population-standardized risk difference and its confidence interval limits
evalues.RR Compute E-value for a risk ratio or rate ratio and its confidence interval limits
lead An example dataset
scrape_meta Convert forest plot or summary table to meta-analytic dataset
sens_plot Plots for sensitivity analyses
sens_table Tables for sensitivity analyses
stronger_than Estimate proportion of population effect sizes above or below a threshold
svalues.HR Compute selection bias E-value for a hazard ratio and its confidence interval limits
svalues.OR Compute selection bias E-value for an odds ratio and its confidence interval limits
svalues.RR Compute selection bias E-value for a risk ratio or rate ratio and its confidence interval limits
threshold Compute E-value for single value of risk ratio
threshold_selection Compute selection bias E-value for single value of risk ratio as well as a statement about what parameters it refers to
twoXtwoRR Estimate risk ratio and compute CI limits from two-by-two table