_____
For an ROC curve, if the area under the curve (AUC) is: 0.5 = _____ test 1.0 = _____ test
Hint: good/bad
How do the following values change when moving the cutoff point of a screening test from B to A? Sensitivity: _____ Specificity: _____ PPV: _____ NPV: _____
If specificity is 100%, then FP is _____
Hint: ##
A high _____ test is useful for confirmation after a positive screening test
Hint: sensitivity/specificity
What type of disease prevention is screening for disease? _____
_____
Positive predictive value varies _____ with pretest probability (prevalence)
Negative predictive value varies _____ with pretest probability (prevalence)
High pre-test probability and negative test = _____ NPV
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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