CoOL_8_mean_risk_contributions_by_sub_group | R Documentation |
Table with the mean risk contributions by sub-groups.
CoOL_8_mean_risk_contributions_by_sub_group( risk_contributions, sub_groups, exposure_data, outcome_data, model, exclude_below = 0.001, restore_par_options = TRUE, colours = NA, ipw = 1 )
risk_contributions |
The risk contributions. |
sub_groups |
The vector with the sub-groups. |
exposure_data |
The exposure data. |
outcome_data |
The outcome data. |
model |
The trained non-negative model. |
exclude_below |
A lower cut-off for which risk contributions shown. |
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 and a dataset with the mean risk contributions 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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