Term
| What does the p-value measure? |
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Definition
-A p-value is a measure of the probability that an observed difference could have occurred just by random chance
-The lower the p-value, the greater the statistical difference
-P-value can be used as an alternative to or in addition to pre-selected confidence levels for hypothesis testing |
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Term
| The specificity of a test indicates what? |
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Definition
-also called the True negative rate
-the proportion of people without the disease who will have negative results
-specificity of a test refers to how well a test identifies patients who do not have a disease |
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Term
| The sensitivity of a test measures what? |
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Definition
-also called the true positive rate
-the proportion of people with the disease who will have a positive result
-A highly sensitive test can be useful for ruling out a disease if a person has a negative result |
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Term
| Explain the difference between sensitivity and specificity |
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Definition
-Sensitivity: the ability of a test to correctly identify patients with a disease
-Specificity: the ability of a test to correctly identify people without the disease
True positive: the person has the disease and the test is positive
True negative: the person does not have the disease and the test is negative
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Term
| Is specificity more important than sensitivity? |
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Definition
The more sensitive a test, the less likely an individual with a negative test will have the disease, and thus the greater the negative predictive value
The more specific the test, the less likely an individual with a positive test will be free from disease and the greater the positive predictive value |
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Term
| Clinical sensitivity vs specificity |
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Definition
- Clinical sensitivity
- %age of positive patients testing positive
- Clinical specificity
- %age of negative patients testing negative
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