To test this possibility, we correlated each significant predictor of low prevalence accuracy with false alarms.
Ovarian cancer is a heterogeneous, rapidly progressive, highly lethal disease of low prevalence.
Given that there has been limited research investigating predictors of low prevalence visual search performance, this work is largely exploratory.
It is worth noting that the most powerful predictor of low prevalence search accuracy was high prevalence search performance.
In areas of low prevalence, test users should be aware of the possibility of false-positive results.
High prevalence performance was a significant predictor of low prevalence target-absent reaction time, t = 7.16, p < 0.001, β = 0.51.
From these data we conclude that our predictors of low prevalence performance are uniquely suited to account for low prevalence search performance, not visual search in general.
Although we identified some valid predictors of low prevalence search here, later efforts should seek to expand on this battery with additional predictor tasks.
K and attentional control were marginally significant predictors of low prevalence reaction time, both t values > 1.74, both p values < 0.084, β values > 0.12.
Finding that high prevalence search performance is a good predictor of low prevalence search performance would provide an efficient method for predicting who would be good at low prevalence search tasks.
Given that low prevalence search tasks require observers to maintain the attentional goal of detecting the target over long periods of time, a task that can quickly assess vigilance may be a useful and valid predictor of low prevalence search.
