Function reference • EValue

E-values for unmeasured confounding
`bias_plot()`	Plot bias factor as function of confounding relative risks
`evalue()`	Compute an E-value for unmeasured confounding
`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
Multiple-bias sensitivity analysis
`confounding()`	Unmeasured confounding
`misclassification()`	Misclassification
`multi_bias()`	Create a set of biases for a multi-bias sensitivity analysis
`multi_bound()`	Calculate a bound for the bias
`multi_evalue()` `multi_evalues.HR()` `multi_evalues.OR()` `multi_evalues.RR()`	Calculate a multiple-bias E-value
`selection()`	Selection bias
Sensitivity analysis for meta-analysis
`confounded_meta()`	Estimates and inference for sensitivity analyses
`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
Sensitivity analysis for selection bias
`selection_evalue()`	Compute selection bias E-value for a hazard ratio and its confidence interval limits
`svalues.HR()`	Compute selection bias E-value for an estimate 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
Other
`toRR()` `toMD()`	Convert an effect measure
`RR()` `OR()` `HR()` `RD()` `OLS()` `MD()`	Declare an effect measure
`lead`	An example dataset
`twoXtwoRR()`	Estimate risk ratio and compute CI limits from two-by-two table

Reference

E-values for unmeasured confounding

Multiple-bias sensitivity analysis

Sensitivity analysis for meta-analysis

Sensitivity analysis for selection bias

Other