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Benjamin

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13 Nov 2012 ROCout=roc(varargin) compute a ROC curve Author: Giuseppe Cardillo

In the 25 Sep 2012 version, can you describe/cite how 'trace(M)/sum(M(:))' , where M is a 2x2 of [TP FP;FN TN], results in an efficiency measure at each threshold?

15 Mar 2011 ROCout=roc(varargin) compute a ROC curve Author: Giuseppe Cardillo

I was also going to suggest adding a varagin to delineate a step-size, ex:
%add a varagin, in this case I am calling it step which can describe the distance between thresholds to be calculated
if(nargin<2 )
z=sortrows(x,1);
%find unique values in z
step=unique(z(:,1));
elseif length(step)==1 % the fixed step size is being requested
step=[min(pred):step:max(pred)]
end
% later in guiseppe code just do labels=step

Also, Guiseppe, I implemented your standard error and pythagoras into my code which generated data that will probably used in an upcoming paper. Do you mind being acknowledged or are there any actual articles to cite? Your call. And lastly, I have a GUI that is pretty beta, but works.

12 Nov 2010 Clinical Test Performance The test calculate the performance of a clinical test based on the Bayes theorem Author: Giuseppe Cardillo

Isn't 1-spec equal to false positive rate? I think this is backward on the output partest and roseplot figures (red should be false positive, and yellow should be false negative). In the code it seems like these values (fp1 and fp2) are used correctly throughout and just mis-labelled on the output graphs. Would you mind confirming this? As always, thanks for the excellent code. The comments in this one are really great and I learned a ton going through it.

12 Nov 2010 ROCout=roc(varargin) compute a ROC curve Author: Giuseppe Cardillo

Thanks, that fixed it and I now understand the difference with SE.

12 Nov 2010 Clinical Test Performance The test calculate the performance of a clinical test based on the Bayes theorem Author: Giuseppe Cardillo

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