Statistics Flashcards

1
Q

Negative predictive value

A

NPV=TN/TN+FN

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2
Q

Sensitivity

A

TP=TP/TP+FN

Probability of a diseased person testing positive

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3
Q

Specificity

A

TN/TN+FP

Probability of a non diseased person testing negative

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4
Q

Positive predictive value

A

PPV=TP/TP+FP

Probability that an individual truly has a disease given a positive test result

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5
Q

Number needed to harm

A

Indicates how many patients need to be exposed before a harmful event occurs in 1 patient
It is the inverse of absolute risk increase

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6
Q

Absolute risk increase(ARI)

A

Difference in incidence rate between the exposed and nonexposed groups

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7
Q

Number needed to treat

A

Determines the number of patients who need to be exposed to prevent 1 bad outcome
NNT is the inverse of absolute risk reduction

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8
Q

Odds ratio

A

Measure of association between an exposure and an outcome
In other words, it represents the odds that an outcome(cardiovascular event) will occur in the presence of a particular exposure compared to the odds of that outcome in a control group
-OR>1 means the exposure is associated with higher odds of the outcome
-OR

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9
Q

Positive likelihood ratio

A

Sensitivity/1-specificity

Represents the likelihood of having the disease given a positive result

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10
Q

Negative liklihood ratio

A

1-sensitivity/specificity

Represents the liklihood of having the disease given a negative result

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