Interpreting Diagnostic Tests Flashcards

1
Q

What are the two ways you may be able to diagnose a disease?

A
  • Detection of the changes caused by the agent
  • Detection of the agent/ cause of the disease
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2
Q

What is the accuracy of a test?

A

The accuracy of a test is its ability to give a true measure of the substance assessed

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3
Q

What is the precision of a test?

A

The precision of a test relates to how consistent the results are (i.e the proportion of true negatives)

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4
Q

What is the sensitivity of a test?

A

The ability of a test to detect true positives (for example the ability of a test in detecting how many diseased animals there are)

out of everyone who tested positive for a disease, how many were also positive in the test

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5
Q

What is the specificity of a test?

A

The ability of a test in detecting non diseased animals (e.g true negatives)

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6
Q

What is a ‘gold-standard’ test?

A

A test that is completely accurate in detecting a disease or infection

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7
Q

What is a false positive?

A

The test is positive when the individual does not have the disease

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8
Q

What is a false negative?

A

The test is negative when the individual does have the disease

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9
Q

What is the positive predictive value?

A

the probability that an animal testing positive is actually positive

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10
Q

What is the negative predictive value?

A

The probability that a test negative animal is actually negative

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11
Q

What is the ROC?

A

Receiver Operating Characteristic

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12
Q

What does the ROC curve plot?

A

True positive rate against False positive rate

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13
Q

What is the meaning of agreement in terms of testing?

A

This refers to how well two tests give similar results

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14
Q

What method would you use to measure agreement for continuous data?

A

The pearson correlation coefficient

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15
Q

What method would you use to measure agreement for categorical/ quantitative data?

A

Cohens kappa

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16
Q

What is meant by prevalence?

A

The proportion of diseased cases in the population

17
Q

What is True prevalence?

A

The actual prevalence of a disease in the population

18
Q

What is apparent prevalence?

A

An estimate of true prevalence based on the results of an imperfect test

19
Q

What does it mean when an ROC curve is closer to 1

A

the better the models ability to distinguish between positive and negative classification

20
Q
A