CoOL_6_sum_of_individual_effects: Predict the risk based on the sum of individual effects

In CoOL: Causes of Outcome Learning

Predict the risk based on the sum of individual effects

Description

By summing the through the risk as if each individual had been exposed to only one exposure, with the value the individual actually had.

Usage

CoOL_6_sum_of_individual_effects(X, model)

Arguments

X	The exposure data.
model	The fitted the non-negative neural network.

Value

A value the sum of indivisual effects, had there been no interactions between exposures.

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

CoOL documentation built on May 24, 2022, 5:04 p.m.