We are receiving a lot of questions about relevant analyses in the Analyse-it Method Validation edition to help in evaluating new diagnostic tests in the fight against COVID-19. Below are some quick links that will help, but contact us if you have questions - we are working as normal.
Also see our latest blog post: Sensitivity/Specificity and The Importance of Predictive Values for a COVID-19 test
Predictive values are the probability of correctly identifying a subject's condition given the test result.
Predictive values use Bayes' theorem along with a pre-test probability (such as the prevalence
of the condition in the population) and the sensitivity and specificity of the test to compute
the post-test probability (predictive value).
The positive predictive value is the probability that a subject has the condition given a
positive test result; the negative predictive value is the probability that a subject does not
have the condition given a negative test result.