Figure 1.

Classification and regression tree derived from the training dataset (n = 1584) identifying the highest risk subgroups for use of alternative tobacco products in combination with cigarettes (Cig+ATP) (misclassification rate = 0.34, receiver operating characteristic = 0.70). The tree derived from the validation data set (n = 792) identified the same outcome discriminators, terminal nodes, and ordered subgroups (Supplementary Figure 1). ^aAUDIT-C = Alcohol Use Disorders Identification Test-Consumption; ^bEDS = Everyday Discrimination Scale. This figure is adapted from Lei et al.⁶² The original figure was published by BioMed Central.