The negative predictive value is the true-negative test results divided by all patients with negative results. This is also referred to as the predictive value of a negative test.
negative predictive value =
= (d / (c + d))
• d = true negatives
• (c + d) = sum of ( false negatives and true negatives) = all negative test results
If the prevalence of disease in a study is similar to that in the population [prevalence in the population = (a + c) / (a + b + c + d)], then the probability of disease with a negative result is (c / (c + d)), or (1 - NPV).
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