Info

"FN, false negative; FP, false positive; N, sample size; ROC, receiver operating characteristic; TN, true negative; TP, true positive.

"FN, false negative; FP, false positive; N, sample size; ROC, receiver operating characteristic; TN, true negative; TP, true positive.

Table 2, the specificity of a test can be determined by calculating TN/(TN + FP). High specificity corresponds to high positive predictive value and is the ideal property of a rule-in test.

Positive Predictive Value

The positive predictive value of a test is the probability that a person is diseased when a positive test result is observed. In practice, predictive values should only be calculated from cohort studies or studies that legitimately reflect the number of people in that population who are diseased with the disease of interest at that time [i.e., when the prevalence (or incidence, for predictive tests) of the disorder is known]. This is because predictive values are inher-

TABLE 2 Basic Model for Clinical Test Performancea
Project Management Made Easy

Project Management Made Easy

What you need to know about… Project Management Made Easy! Project management consists of more than just a large building project and can encompass small projects as well. No matter what the size of your project, you need to have some sort of project management. How you manage your project has everything to do with its outcome.

Get My Free Ebook


Post a comment