analysis can lead to separate, more accurate models for each of the groups.17, 19, 21 Using stratification to control for the confounding variables, age, gender, and ancestry, we expected to find differences in the prediction models between the groups. We also examined the most discriminative features in the predictive models, enhancing our understanding of brain mechanism/genetics/FH features underlying AUD development, risk and resilience.
