  Hazard ratios are ubiquitously used in time to event analysis to quantify
treatment effects. Although hazard ratios are invaluable for hypothesis
testing, other measures of association, both relative and absolute, may be used
to fully elucidate study results. Restricted mean survival time differences
between groups have been advocated as useful measures of association. Recent
work focused on model-free estimates of the difference in restricted mean
survival for all follow-up times instead of focusing on a single time horizon.
In this work a model-based alternative is proposed with estimation using
pseudo-values. A simple approach is proposed easily implementable with
available software. It is also possible to compute a confidence region for the
curve. As a by-product, the parameter 'time until treatment equipoise' (TUTE)
is also studied. Examples with crossing survival curves will be used to
illustrate the different methods together with some simulations.
