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