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9 Cards in this Set

  • Front
  • Back
sensitivity
percent who test positive
among all who have a disease

(1 - sensitivity) are false negatives,
so high sensitivity rules out (SNOUT)
specificity
percentage who test negative
among all who don't have a disease

(1 - specificity) are false positives,
so high specificity rules in (SPIN)
positive predictive value
percent of positive test results
that actually represent disease
negative predictive value
percent of negative test results
that actually represent no disease
odds ratio
from case-control (retrospective) study comparing disease to prior risks

( WITH disease WITH risk
x WITHOUT disease WITHOUT risk )
÷
( WITH disease WITHOUT risk
x WITHOUT disease WITH risk )

approximates relative risk for dz with low prevalence
relative risk
from cohort (prospective) study

risk of getting disease (D) based on risk (R)

( WITH disease / ALL WITH risk )
÷
( WITH disease / ALL WITHOUT risk )
type I error
stating there IS an effect when NONE exists;
to incorrectly reject null hypothesis

p represents odds of type I error
type II error
stating there is NO effect when one EXISTS;
to incorrectly accept null hypothesis
power
probability of finding an effect (rejecting null hypothesis) when the effect is real

(+) n -> (+) power

power = ( 1 - type II error )