Extreme value analysis has the potential to improve spirometry interpretation

Considering the spirometric measures from people with lung function impairment as a separate distribution from people with healthy lung function provides a more analytic assessment of impairment. Applying extreme value analysis, the relative probability of a spirometric measurement being impaired versus healthy and a more precise definition of the zone of uncertainty potentially provides more objective discrimination of the intersection between the healthy and impaired lung function ranges.