I am conducting an analysis where the outcome is time to an event in minutes, with no censoring of the event, and in this situation the event always occurs. The distribution of the outcome variable is skewed right, but a log-transformation makes it roughly normally distributed. An intervention was implemented to decrease the time to the outcome event, and the main research questions revolve around the impact of the intervention on the outcome, and how the intervention affected the association of other covariates with the outcome.
My question - Is survival analysis the appropriate method to use here, or would it be better to start with a linear regression on the log-transformed outcome variable and go that route? Does the choice of method depend on the research question? Or is one type of method more appropriate in this situation than the other regardless of question?