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20 Cards in this Set

  • Front
  • Back
p value
tells you the likelihood of making a type 1 error
t-test
determination of differences between the mean of 2 samples
case control
odds ratio
cross-sectional studies
chi2 square
Type I Error (a error )
rejecting the null hypothesis
Type II Error ( b error )
failing to reject the null hypothesis
B= 1-power
Power
capacity to detect a difference if there is one
Cohort Studies
prospective
RR AR
AR
how many more cases in one group?
Incidence rate of exposed group- incidence rate of unexposed
RR
used only in prospective studies
How much more likely?
IR of exposed/IR of unexposed
Numbers Neede to Treat ( NNT )
How many in general population need to be treated to prevent one case?
Inverse of IR
True Positives
diseased people who are correctly classified as positives
True Negatives
well people who are correctly classidied as negative
False Positives
well people misclassified as positive
False Negatives
Diseased people who are misclassified as negative
specificity
TN/TN + FP
right column
proportion of well people who are correctly classified by the screening test
SPIN
sensitivity
with disease - correctly classified
TP/TP + FN
Left
SNout
Rule out well people
Negative predictive value
TN/TN + FN
How likely it is taht a negative test represent true absence of the condition you are testing
Accuracy
proportion of all screened people who are correctly classified by the screening test

TP + TN/ TP+TN+FP+FN
Prevalence
IR x Time

TP + FN/ TP + TN+ FN +FP