The likelihood ratio for a negative subject reflects the probability of not having the diagnosis if testing positive divided by the probability of not having the diagnosis if testing negative.
Parameters:
(1) false positive
(2) true positive
(3) false negative
(4) false positive
likelihood ratio for a negative subject =
= ((false positive) / ((true positive) + (false positive))) / ((true negative) / ((true negative) + (false negative)
Alternatively
= (false discovery rate) / (negative predictive value)
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