CoOL_6_sum_of_individual_effects | R Documentation |
By summing the through the risk as if each individual had been exposed to only one exposure, with the value the individual actually had.
CoOL_6_sum_of_individual_effects(X, model)
X |
The exposure data. |
model |
The fitted the non-negative neural network. |
A value the sum of indivisual effects, had there been no interactions between exposures.
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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