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