QuestionSBA
QuestionChoice
Positive predictive value describes the ability of a diagnostic test to correctly identify people with a certain disease as doing so. Positive predictive value can be calculated from the test’s sensitivity, specificity and condition prevalence.
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a
The proportion of those who test positive for a disease that actually have the disease
QuestionChoice
This is the definition of the 95% confidence interval. For example, if the prevalence of a disease is measured as 0.7% (CI 0.63-0.85%), we can be 95% sure that the true value of the prevalence is between 0.63% and 0.85%.
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e
The interval around an estimate in which there is 95% confidence that the true value lies
QuestionChoice
This is the definition of the statistical concept ‘number needed to treat’ (NNT). For example, if a drug has an NNT of 8, it means that 8 patients would have to be treated with the drug to prevent 1 additional detrimental outcome.
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d
The number of patients over a certain time period that would need treatment to prevent a particular detrimental outcome
QuestionChoice
This is the definition of sensitivity, which is used in the evaluation of diagnostic tests. Ideally, diagnostic tests should be highly sensitive and highly specific.
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c
The probability that an individual with a disease will test positive for the disease
QuestionChoice
This is the definition of specificity, which is a measure used to evaluate the suitability of diagnostic tests. Ideally, diagnostic tests should be highly sensitive and highly specific.
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b
The probability that an individual without a disease will test negative for the disease
Concept
Chapter
2693
4325
Evaluation of a diagnostic test
Topic
178
Medical Statistics
17839
What is the definition of positive predictive value?
a