Prior to performing the ITT analyses, Multiple Imputation through Chained Equations (MICE) was conducted to deal with missing data. The Fully Conditional Specification algorithm in the SAS MI procedure was used to generate 30 imputed datasets. The effects of the intervention on depressive symptoms and on remission were determined on each imputed data set. MI repetition results were combined to generate final estimates of parameters and confidence intervals for depressive symptoms. Rubin's rules were used to combine the parameter estimates and errors into a single set of results.