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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
true positive
person has disease and test is positive for it
true negative
person does NOT have disease and test is negative for it
false positive
person does NOT have disease and test is positive
false negative
person has disease but test is negative
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
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
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
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