CoOL_6_individual_effects_matrix {CoOL}

Risk contribution matrix based on individual effects (had all other exposures been set to zero)

Description

Estimating the risk contribution for each exposure if each individual had been exposed to only one exposure, with the value the individual actually had.

Usage

CoOL_6_individual_effects_matrix(X, model)

Arguments

X

The exposure data.

model

The fitted the non-negative neural network.

Value

A matrix [Number of individuals, exposures] with the estimated individual effects by each exposure had all other values been set to zero.

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