Positive and negative predictive value, likelihood ratios, and ROC curve interpretation as cloze cards with each formula and term defined.
About this set
34 cloze cards for Biostatistics Fundamentals Biostatistics. Set 4 of 8 in Biostatistics. It opens with "Sensitivity is the proportion of people with the disease who test ____" and "Specificity is the proportion of people without the disease who test ____". More Healthcare and Nursing decks are listed below.
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- Sensitivity is the proportion of people with the disease who test ____.
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positive- Specificity is the proportion of people without the disease who test ____.
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negative- Positive predictive value (PPV) is the proportion of people with a ____ test result who actually have the disease.
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positive- Negative predictive value (NPV) is the proportion of people with a ____ test result who actually do not have the disease.
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negative- PPV equals true positives divided by ____.
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(true positives + false positives)- NPV equals true negatives divided by ____.
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(true negatives + false negatives)- Sensitivity equals true positives divided by ____.
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(true positives + false negatives)- Specificity equals true negatives divided by ____.
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(true negatives + false positives)- If disease prevalence increases while sensitivity and specificity stay fixed, what happens to PPV?
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PPV increases- If disease prevalence increases while sensitivity and specificity stay fixed, what happens to NPV?
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NPV decreases- Sensitivity and specificity are intrinsic test properties that do ____ change with disease prevalence.
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not- The positive likelihood ratio (LR+) equals sensitivity divided by ____.
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(1 - specificity)- The negative likelihood ratio (LR-) equals (1 - sensitivity) divided by ____.
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specificity- An LR+ greater than ____ increases the probability that a patient has the disease.
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1- An LR- less than ____ decreases the probability that a patient has the disease.
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