@article{Gregson:340528,
      recid = {340528},
      author = {Gregson, John and Ferreira, João Pedro and Collier, Tim},
      title = {winratiotest: A command for implementing the win ratio and  stratified win ratio in Stata},
      journal = {Stata Journal},
      address = {2023-07},
      number = {199-2024-896},
      year = {2023},
      abstract = {The win ratio is a statistical method most commonly used  for analyzing composite outcomes in clinical trials.  Composite outcomes comprise two or more distinct  “component” events (for example, myocardial infarction or  death) and are typically analyzed using time-to-first-event  methods ignoring the relative importance of the component  events. When using the win ratio, component events are  instead placed into a hierarchy from most to least  important; more important components can then be  prioritized over less important outcomes (for example,  death can be prioritized over myocardial infarction).  Furthermore, the win ratio enables outcomes of different  types (for example, time-to-event, continuous, binary,  ordinal, and repeat events) to be combined. We present  winratiotest, a command to implement the win-ratio approach  for hierarchical outcomes in a flexible and user-friendly  way.},
      url = {http://ageconsearch.umn.edu/record/340528},
      doi = {https://doi.org/10.22004/ag.econ.340528},
}