Giuseppe Cardillo

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.

Look well the matrix you gave to odds!
you wrote x1 = [17, 7; 1707 1786];
so a=17, b=7, c=1707 and d=1786.
If you use the correct matrix of your example
>> x=[17 1690;7 1779];
>> odds(x)
Significance level: 95%

Risk Ratio: 1.0564<2.5410<6.1119
Absolute risk reduction: 0.6%
Relative risk reduction: 60.6%

Odds Ratio: 1.0575<2.5565<6.1801
Phi: 0.0331
Weak positive association (risk factor)

Bayesian Credibility Assessment
Critical Odds Ratio: 11.4919
OR<=COR. Test isn't credible at the 95%

alpha = 0.0500 n1 = 1707 n2 = 1786
Z1-b = 0.1982 Power (2-tails) = 0.5786

To achieve a recommended Power=0.80
n1 = 3203 (add 1496 subjects to exposed row)
n2 = 3351 (add 1565 subjects to not exposed row)

Hi,
Great code. Thanks. Some questions:
1) Is there any document explaning the output - what each result means and how is it calculated?
2) We found that a negative value in the data causing an error. Is that true? Will adding a constant to bring all data above zero will affect the results?
Thanks.