A DAG-based comparison of interventional effect underestimation between composite endpoint and multi-state analysis in cardiovascular trials.

Incorporating multiple episodes per individual into the primary analysis can reduce the bias of a treatment's total effect estimate. Our findings will help to move beyond the paradigm of considering first events only for approaches that use more information from the trial and augment interpretability, as has been called for in cardiovascular research.