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

Documentation for package ‘EValue’ version 2.0.0

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