disorders.) The same approach was used to create mutually exclusive samples for DSM-IV dependence and DSM-5 severe AUD. In order to create the two random half samples required for this approach, we applied even case identification numbers towards the DSM-5 diagnoses and odd case identification numbers towards the DSM-IV diagnoses. Case identification numbers were randomly generated when the Wave 1 and Wave 2 NESARC data sets were merged. We were then able to use t-tests of differences in independent samples to compare the clinical profiles of the DSM-IV and DSM-5 diagnoses. In order to account for multiple comparisons, we applied a p-value of <.005 for citing differences as statistically significant.
