measures of accuracy of test Flashcards

1
Q

false positive vs false negative

A

false positive:
type I error, alpha error

false negative:
type II error, beta error

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2
Q

refers to the ability of a test to detect a disease when present

A

sensitivity

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3
Q

refers to the ability of a test to detect a non-disease when no disease is present

A

specificity

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4
Q

indicates the proportion of the subjects with positive test results had the disease

A

positive predictive value

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5
Q

indicates the proportion of the subjects with negative test results did not have the disease.

A

negative predictive value

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