Primary outcome
REGRESSION
The primary outcome, whether a young driver had a police-reported crash of any type during the 24-week intervention and post-intervention periods, will be analysed using a log-binomial regression model. Should the log-binomial regression model fail to converge, a Poisson regression model with robust standard errors will be used. The primary hypothesis will be evaluated by obtaining the estimated relative change in the risk of a young driver being involved in a police-reported crash of any type (i.e., risk ratio) for participants in the intervention group compared to the control group, a two-sided 95% confidence interval and a p-value. This model provides valid inference in the presence of missing data if the data are missing completely at random (MCAR). A sensitivity analysis will be conducted using multiple imputation to explore the impact of any deviations from MCAR on the results.