CoOL_7_prevalence_and_mean_risk_plot | R Documentation |
This plot shows the prevalence and mean risk for each sub-group. Its distribution hits at sub-groups with great public health potential.
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 )
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 |
A plot with prevalence and mean risks by sub-groups.
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>
#See the example under CoOL_0_working_example
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