Mplus[43]). The robust maximum likelihood estimator provides the estimated variance-covariance matrix for the available drinking data and, therefore, all available drinking data during treatment were included in the models. Mplus could not accommodate missing data in the predictors (n=262; 6.8% of the full sample). The final model was re-estimated using multiple imputation; however, results from that model were not substantively changed from the results derived via MLR, thus we report the maximum likelihood estimation results (n=3589).
