Win ratio with controlled event contributions in survival analysis with multiple events

Music City Center 

The Win ratio is an alternative composite measure to time to first event for analyzing survival data with multiple events. It has been increasingly used in clinical research to compare treatment groups. Unlike composite outcomes based on time to first event, which assume all events have an equal impact, the Win ratio prioritizes more important events. The Win ratio is defined as the ratio of wins to losses in the treatment group, based on pairwise survival comparisons. The rule determining the winner is called the Win function, which corresponds to the inverse hazard ratio in the Cox model when calculating the Win ratio based on time to first event. By incorporating event prioritization into the Win function, a Win ratio that accounts for event priority can be defined.
However, high-priority events do not always contribute significantly to the Win ratio, as more frequent events tend to have a greater impact. This study proposes a weighted method to control event contributions in the Win ratio, enabling more flexible and interpretable treatment comparisons.

win taio

survival analysis

multiple events 

Biometrics Section