What is the proportion of primary outcome cases referred to as?

The proportion of primary outcome cases is referred to as sensitivity. Sensitivity is a statistical measure that indicates how well a test correctly identifies individuals with a specific condition or outcome. Specifically, it is the ratio of true positive cases (those who have the condition) to the total number of actual positive cases (the sum of true positives and false negatives). High sensitivity means that the test is effective at detecting the primary outcome cases, which is crucial for ensuring that individuals who actually have the condition are not missed.

Other terms related to the evaluation of test performance, such as response, false positive fraction, and proportion, do not specifically describe this relationship between true positives and total actual positive cases. Response generally refers to the overall outcome or reaction to a treatment rather than its statistical evaluation. The false positive fraction pertains to the proportion of actual negatives that are incorrectly identified as positives, and while proportion is a broader term that could potentially fit various contexts, it lacks the specificity needed to describe the sensitivity of a test accurately.