Accuracy
Measure of how close a test result is to the truth
- proportion of all correct tests (out of total number of tests run)
What are 3 things that affect accuracy?
2 x 2 table: positives and negatives
Positive Negative
+ a (TP) b (FP)
- c (FN) d (TN)
Accuracy formula
= a + d / n
______ assumes the cost of mistakes in either direction are equal
Accuracy
Precision
How close the measured values (test results) are to each other
- may not be accurate or correct, but they are close to each other
What do accuracy and precision have in common?
Accuracy - summary
Precision - summary
Sensitivity
Ability of a test to correctly identify those that have the disease
- of all animals that have the disease, what proportion test positive
Highly sensitive tests will have a low number of _______
False negatives
Specificity
Ability of a test to correctly identify those that do not have the disease
- of all the animals that do not have the disease, what proportion test negative
Highly specific tests will have a low number of ______
False positives
Concerned with the population of animals that have the disease
Sensitivity
- looking at the left side of the 2 x 2 table (a and c, TP/FN)
= a/a+c
What are reasons to get a false negative?
As sensitivity decreases, the likelihood of getting _________ increases
False negatives
How to interpret sensitivity?
TP = 93
FN = 7
- out of every 100 cats, the test will correctly identify 93 cats that have the disease, and will falsely identify 7 cats as negative that actually have the disease
Concerned with the population of animals that do not have the disease
Specificity
- looking at the right side of the 2 x 2 table (b and d, FP/TN)
= d/b+d
Why might a result be a false positive?
As specificity goes down, the likelihood of _______
False positives increases
What is expressed as a proportion?
Epidemiologic sensitivity
- reliance on testing to identify ill animals
How is analytical sensitivity different from epidemiologic sensitivity?
Analytical sensitivity expresses the detection limits of a test
- ability to detect very low levels of a target
Gold standard
Required to calculate sensitivity, need samples from animals that we know the true disease status of
Epidemiologic specificity
Ability of a test to correctly detect (classify) non-diseased animals