An example of the single adduct evaluation using the area under the receiver operating characteristic (ROC) curve (AUC) logistic regression approach for discrimination between the amphipod females with low (H: Healthy) and high (U: unhealthy) embryo aberration frequency. For each of the three discriminating adducts, the left panel shows the AUC confidence interval, true positive and false positive rates, and confidence interval (CI), the right panel shows the normalized values for the adducts in healthy and unhealthy individuals. AUC logistic regression approach identified adducts A22 ( N6-Methyl-2′-deoxyadenosine, N6-me-dA; AUC = 0.802), A9 (uncharacterized adduct; AUC = 0.697), and A3 (5-Methyl-2′-deoxycytidine, 5-me-dC; AUC = 0.652) to have the greatest specificity and sensitivity in relation to the developmental pathologies in these amphipods. The logistic regression based on these adducts had 80 and 85 % classification accuracy for predicting unimpacted and impacted animals, respectively; modified from \cite{Gorokhova2020}.