CoOL_7_prevalence_and_mean_risk_plot {CoOL}

Prevalence and mean risk plot

Description

This plot shows the prevalence and mean risk for each sub-group. Its distribution hits at sub-groups with great public health potential.

Usage

CoOL_7_prevalence_and_mean_risk_plot(
  risk_contributions,
  sub_groups,
  title = "Prevalence and mean risk\nof sub-groups",
  y_max = NA,
  restore_par_options = TRUE,
  colours = NA,
  ipw = 1
)

Arguments

risk_contributions

The risk contributions.

sub_groups

The vector with the sub-groups.

title

The title of the plot.

y_max

Fix the axis of the risk of the outcome.

restore_par_options

Restore par options.

colours

Colours indicating each sub-group.

ipw

a vector of weights per observation to allow for inverse probability of censoring weighting to correct for selection bias

Value

A plot with prevalence and mean risks by sub-groups.

References

Rieckmann, Dworzynski, Arras, Lapuschkin, Samek, Arah, Rod, Ekstrom. 2022. Causes of outcome learning: A causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome. International Journal of Epidemiology <https://doi.org/10.1093/ije/dyac078>

Examples

#See the example under CoOL_0_working_example