Giuseppe Cardillo

Noam, the message you get is from a previous version of roc.m routine and not from partest.m. When you have a test, using roc curve analysis you can choose a cut-off point (the point above/below which the test is positive) to obtain the max sensitivity or the max specificity or the max cost effective or the max efficiency or the max positive predictive value...and this choosing depends on your specific problem. Actually, I erased partest invoking from roc to simplify the code.

Anyway, Partest asks whether you want to input the true prevalence of a disease or not. Partest uses the Bayes'es Theorem and the true prevalence is needed to correctly apply it

As I previously wrote, the main paper you have to read is Hanley JA, McNeil BJ. The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) Curve. Radiology. 1982 Apr;143(1):29-36.
Now I think it is quite impossible to find a paper describing each bayesian parameter, so you could email me in private and I could try to help you.

Adding a costant will not affect results.

simply do this:
1) in Matlab enter into the directory where you installed CODIS (use the window into the left side)
2) type "CODISpwd=pwd; save CODISpwd.mat CODISpwd; clear CODISpwd"
3) that'all. Anyway I will modify the software.

this is not true!
if you look well at code:

slope=(y(end)-y(1))/(x(end)-x(1));

and so slope can be positive or negative.

Moreover, in the starting points vector:

st_=[min(y) sign(slope) x(Idx) max(y) 1];

sign(slope) is -1 or +1.

So your comment is completely wrong!

Thanks for the code.

I looked at the source and didn't find an explanation for the "Choose cut-off to compute performance" message. What does it mean? and what values are relevant?

And one more question: I run partest within a loop and now I need to press enter every time the cut-off message appears. How can set it to run for the same value everytime it runs?