Primary outcome analyses
depression, depressed mood
REGRESSION
We will estimate the effect of the interventions on smoking cessation (biochemically verified 7-day point prevalence abstinence) at end-of-treatment and follow-ups (6, 9 and 12 months) using a longitudinal regression model implemented with generalized estimating equations (GEE) with robust standard errors [We will use a series of longitudinal mixed effects regression models to estimate the effect of BAT-CS versus control on depressed mood (PHQ-9) at end-of-treatment and subsequent follow-ups, controlling for baseline depression, cardiac rehabilitation attendance, depression treatment outside of the study, and any other variables not balanced by randomization that are correlated with depressed mood at follow-ups at a modest For primary outcomes (i.e., biochemically verified 7-day point prevalence abstinence and PHQ-9) we will conduct a per-protocol analysis (with parallel models to those described above) to assess differences between groups among those who completed a substantial number of treatment sessions. Per protocol will be defined completing at least four treatment sessions in both treatment groups.