Sensitivity
Sensitivity=TP/(TP+FN)
Looks at ALL the people who DO have the disease.
“True is on Top”
-To determine if a test effectively rules OUT disease, we must look at the test results of the people who DO have the disease (sounds kind of backwards, but if the test is good at identifying people who DO have the disease, then we can trust that a negative result really means that the person does NOT have the disease).
Specificity
Specificity=TN/(TN+FP)
Looks at All the people who DO NOT have the disease.
“True is on Top”
-A high specificity test is one in which the FP account for a small percentage of patients without disease.
(Tip: 1-Specificity=Probability of a False Positive)
-Rules IN disease well. (SpIn)
-Good for a confirmatory test.
-To determine if a test effectively rules IN disease, we must look at the test results of the people who Do NOT have the disease (sounds kind of backwards).
Positive predictive value
PPV=TP/(TP+FP)
-Looks at All the positive results. “True is on Top”
Negative predictive value
NPV=TN/(TN+FN)
Relative Risk
aka Risk Ratio
RR=[Exposed with disease/Total exposed] / [Unexposed with disease/Total unexposed]
-Ratio of risk of disease in exposed vs unexposed individuals
-Used for cohort studies (in which exposure status is known at study onset and risk of developing the bad outcome is followed over time)
Odds Ratio
OR=[Exposed cases/Unexposed cases] / [Exposed controls/Unexposed controls]