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Returns the bootstrap simulations for pif and paf

Usage

get_pif_simulations(object)

Arguments

object

A pif_class object

Examples

#Example 1
data(ensanut)
options(survey.lonely.psu = "adjust")
design <- survey::svydesign(data = ensanut, ids = ~1, weights = ~weight, strata = ~strata)
rr <- function(X, theta) {
  exp(-2 +
    theta[1] * X[, "age"] + theta[2] * X[, "systolic_blood_pressure"] / 100)
}
cft <- function(X) {
  X[, "systolic_blood_pressure"] <- X[, "systolic_blood_pressure"] - 5
  return(X)
}
pifsim <- pif(design,
  theta = log(c(1.05, 1.38)), rr, cft,
  additional_theta_arguments = c(0.01, 0.03), n_bootstrap_samples = 10,
)
get_pif_simulations(pifsim)
#>           potential_impact_fraction   counterfactual   relative_risk
#> result.1                0.003669701 Counterfactual_1 Relative_Risk_1
#> result.2                0.032820408 Counterfactual_1 Relative_Risk_1
#> result.3                0.004224853 Counterfactual_1 Relative_Risk_1
#> result.4                0.029365131 Counterfactual_1 Relative_Risk_1
#> result.5                0.034605423 Counterfactual_1 Relative_Risk_1
#> result.6                0.025889297 Counterfactual_1 Relative_Risk_1
#> result.7                0.023133935 Counterfactual_1 Relative_Risk_1
#> result.8                0.021832001 Counterfactual_1 Relative_Risk_1
#> result.9                0.009654618 Counterfactual_1 Relative_Risk_1
#> result.10               0.014331641 Counterfactual_1 Relative_Risk_1