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Hazard ratios are ubiquitously used in time to event applications to quantify treatment effects. Although hazard ratios are invaluable for hypothesis testing, other adjusted measures of association, both relative and absolute, may be used to fully appreciate studies results, especially when the assumption of proportional hazards does not hold. In the following we will show the use of restricted mean survival time, a measure of association that received a lot of attention in the last years, estimated through the follow-up time. Direct regression models on RMST and Machine Learning approaches are available. Examples will be used to illustrate the different approaches.