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Sensitivity
TP/(TP+FV)
Only includes numbers about subjects
with disease
Sensitivity rules out (SNOUT)
Specificity
TN/(TN+FP)
Only includes numbers on subjects
without disease
Specificity rules in (SPIN)
Draw the bayesian foursquare
Positive Predictive Value
Likelihood of disease in subject with positive test
PPV=TP/(TP+FP)
depends on prevalence
(if uncommon, number of FP increases and PPV decreases)
good PPV means good screening
Negative Predictive Value
Likelihood of not having disease if tested negative
NPV=TN/(TN+FN)
Depends on prevalence
(if common, number of FN increases and NPV decreases)
type 1 error
concluding difference when non exists (think drug companies)
type 2 error
concluding no difference when one does exist
number needed to treat
inverse of absolute risk reduction
Author
jmeglin
ID
27529
Card Set
statistics.txt
Description
Statistics
Updated
2010-07-21T12:56:34Z
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