Epidemiology: Testing Flashcards
(Specificity/Sensitivity) has a greater effect on the predictive value of a test for infrequent diseases.
Specificity
A negative highly sensitive test is valuable for ruling (out/in) the possibility of disease.
Out
Individuals who test positive, but in reality are disease free, are considered to be (false/true) positives.
False
When the distribution curve for a test is narrow, it indicates good (reliability/validity) .
Reliability
Variability in an individual over time is known as (intra/inter) subject variation.
Intra
False (positive/negative) tests are associated with higher costs because they need to be repeated for confirmation.
Positive
The (sensitivity/specificity) of a test refers to the ability to correctly identify individuals who have the disease.
Sensitivity
The (negative/positive) predictive value is defined as the proportion of individuals with a positive screening test who actually have the disease.
Positive
A highly (sensitive/specific) test is used for confirmation after a positive screening test.
Specific
The (negative/positive) predictive value is defined as the proportion of individuals with a negative screening test who do not have the disease.
Negative
The statistic measures the extent by which two observers agree on a test result exceeding that of chance alone.
Kappa
High sensitivity tests are used for diseases that have (high/low) prevalence.
Low
Positive predictive value varies (directly/inversely) with pretest probability.
Directly
Positive predictive value varies (directly/inversely) with pretest probability.
Sequential
If the specificity of a test increases, the positive predictive value (increases/decreases) .
Increases