So you have the confusion matrix, not the original data (observation pairs)? That is, you have a table of true levels versus predicted levels? If so, then JMP has no built-in analysis to help you. It works with the data, not a summary of the data. You would need a script to calculate the sensitivity and specificity. This calculation is simple from the confusion matrix.
I have the original data; for each test perform I have the value of the nominal variable 1 (gold standard: "control" or "disease") and the value of the nominal variable 2 (test result : "postive" or "negative" )
This look like:
Gold standard Test result Test 1 Control Negative Test 2 Control Negative Test 3 Disease Positive Test 4 ect....
Sorry for not having mentionned this at the stage of my first message