Logistic regression was then used to evaluate the association between the 2 latent profiles and a binary variable representing the subjects that were from the AE/Non-FAS group (coded 1) vs. CON group (coded 0). The latent profile variable was significantly associated with group membership (OR = 0.16, CI = .10 to .27, p < .001), with significantly more AE/Non-FAS subjects in profile 1 and significantly more CON subjects in profile 2. The profiles accounted for 71.5% accuracy of prediction in the two groups combined, with 70.1% accuracy in the AE/Non-FAS group and 72.4% accuracy in the CON group.
