Abstract
Referral criteria for photoscreening instruments currently rely on cutoff values for each estimate of refractive error; tailoring them to adjust predictive values is challenging. We present a model that combines refractive estimates to provide a single outcome metric that is associated with the likelihood of a child having an amblyopia risk factor (ARF).
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