False Negative Rate
False negative rate is the probability of a negative test when the condition is true, equal to 1 minus sensitivity.
Definition
False negative rate is P(test negative given condition true). It equals 1 minus sensitivity.
Why it matters
False negatives weaken the evidence of a negative result. In Bayes terms, high false negative rate reduces how much a negative test should shift your belief.
How it connects
• Lower false negative rate increases the value of a negative result.
• It contributes to likelihood ratio calculations used in Bayes updates.
Common pitfalls
Assuming a negative test clears the condition: The posterior still depends on base rate.