How are prevalence and pretest probability related? _____
Positive LR > _____ is an indicator of a very useful diagnostic test
_____ ratios can be multiplied with pretest odds of disease to estimate posttest odds
_____ is the probability that when the test is negative, the disease is absent
A high _____ test is useful for confirmation after a positive screening test
Specificity values approaching 100% is desirable for ruling _____ disease (in or out)
_____ scores are used to calculate the probability that two loci are linked (linkage disequilibrium)
_____ is the consistency and reproducibility of a test
Sensitivity values approaching 100% is desirable for ruling _____ disease (in or out)
_____ is the probability that when the disease is present, the test is positive
Definitions and calculations
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2x2 contingency tables
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Relationship with false positive/negative rates
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Positive predictive value (PPV)
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Negative predictive value (NPV)
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Effect of disease prevalence on predictive values
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Likelihood ratios
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ROC curve analysis
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Area under the curve (AUC) interpretation
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Optimizing cut-off values
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Trade-offs between sensitivity and specificity
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Multi-test algorithms
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Application to screening programs
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