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9 Cards in this Set
- Front
- Back
case-control studies
def? 2 types: retrospective and observational |
def: comparing people with a disease to people without it
retrospective: look at people with a disease to see if they had a given risk factor observational: follow people with a risk factor and see if they get a disease |
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true positive
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person has disease and test is positive for it
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true negative
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person does NOT have disease and test is negative for it
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false positive
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person does NOT have disease and test is positive
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false negative
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person has disease but test is negative
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sensitivity
def? equation? use? if value near 1? |
def: proportion of all people with the disease who test positive or the ability for a test to detect a disease when it is present
eqn: TP / (TP + FN) or 1- false negative rate use: screening for disease with low prevalence (e.g. D-dimer for PE) if value near one you can rule out dz SNOUT- SeNsitivity rules OUT dz |
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Specificity
def? equation? use? if value near 1? |
proportion of all people without disease who test negative- the ability of a positive test to diagnose dz
eqn: TN / (TN + FP) use: confirmatory test after positive screening test SPIN- if high Specificity test is Positive it rules IN the disease |
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Positive Predictive Value (PPV)
def? equation? affect of prevalence? |
probability that a positive test result is a true positive (given positive test person actually has disease)
prevalence: if prevalence is high then positive test is more likely to be positive |
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Negative Predictive Value (NPV)
def? equation? affect of prevalence? |
probability that a negative test result is a true negative (given negative test person actually does NOT have disease)
eqn: TN / (TN + FN) prevalence: if prevalence is low then a negative test is more likely to actually be neg |