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Plot of bootstrap simulation output for selection and misclassification bias

Source: R/plot.episensr_booted.R
plot.episensr_booted.Rd

This takes an episensr bootstrap object and produces the plot of bootstrap replicates for selection or misclassification bias of the variable of interest, either relative risk or odds ratio. It also draws the confidence interval.

Usage

# S3 method for class 'episensr_booted'
plot(x, association = c("rr", "or"), ...)

Arguments

x

An object of class "episensr.booted" returned from the episensr bootstrap generation function.

association

Choice between bias adjusted relative risk (rr) and odds ratio (or).

...

Other unused arguments.

See also

boot_bias, selection, misclass

Other visualization: plot.episensr_probsens(), plot.mbias()

Examples

misclass_eval <- misclass(matrix(c(215, 1449, 668, 4296),
dimnames = list(c("Breast cancer+", "Breast cancer-"),
c("Smoker+", "Smoker-")),
nrow = 2, byrow = TRUE),
type = "exposure",
bias_parms = c(.78, .78, .99, .99))

set.seed(123)
misclass_boot <- boot_bias(misclass_eval)
plot(misclass_boot, association = "rr")