Positive predictive value is computed as the percentage of true-positive scores in all persons with and without the condition who have positive test results.
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Q15: False-negative rate is 1-specificity.
Q16: Sensitivity and specificity have an inverse relationship.
Q17: When using diagnostic tests, you want tests
Q18: The major advantage to predictive values is
Q19: Likelihood ratios have a distinct advantage over
Q21: A lower negative ratio value tells you
Q22: High predictive values rule in a condition,
Q23: Sensitivity is the true-positive test results divided
Q24: The true-negative rate is the clinical term
Q25: The major limitation to predictive values is
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