Accuracy of a diagnostic test can be assessed by sensitivity, specificity, positive and negative predictive values. How are these affected if test is repeated one more time (total 2 times). Is there any formulae for this?
Also how to assess accuracy of repeated testing if Bayes theorem is also to be taken into account. That is, post-test probability is to be calculated considering pre-test probability (prevalence) also.
Thanks for your insight.
Edit: For a specific example, there is a diagnostic test with sensitivity of 70% and specificity of 95%. I want to apply this test to 2 populations with prevalences of 10% and 90%. How do I calculate accuracy scores if I repeat the test 2 times in this situation?