Comment Re:Sensitivity vs Selectivity (Score 2) 56
Thanks for highlighting the issues with false positives and false negatives. Generally referred to as Sensitivity vs Specificity (definitions below).
Generally your specificity decreases the more sensitive your diagnostic / screening test so there's a trade off between missing actual cases and misdiagnosing healthy people.
Best measures for evaluating tests are generally Likelihood ratios (LR) (probability of the person having the disease given the test result) so considers both of the above. LR for a positive test = sensitivity / (1-specificity)
A useful read for anyone interested https://doi.org/10.1136/bmj.315.7107.540 (subscription required)
Greenhalgh, T., 1997. How to read a paper: papers that report diagnostic or screening tests. Bmj, 315(7107), pp.540-543:
"A test is valid if it detects most people with the target disorder (high sensitivity) and excludes most people without the disorder (high specificity), and if a positive test usually indicates that the disorder is present (high positive predictive value)
Sensitivity (True Positive Rate) How good is this test at picking up people who have the condition?
Specificity (True Negative Rate) How good is this test at correctly excluding people without the condition?
Positive predictive value - If a person tests positive, what is the probability that he or she has the condition?
Negative predictive value- If a person tests negative, what is the probability that he or she does not have the condition?"