How to compare two unpaired ROC curves
How to compare to unpaired ROC curves
This function was written to compare two unpaired ROC curves. What this means? This means that you have used the same classificator (i.e. a clinical test) on two different subsets of subjects. This function recalls another function of mine, ROC, to perform all the required computations.
The inputs are, as in ROC, two Nx2 matrix: in the first column you must insert the test value and in the second you must insert 1 if the subject is a patient or 0 if he is healty (or, more general, use 1 and 0 to discriminate the subsets of subjects).
I.E. load uroccompdata
and then call uroccomp(x,y)
The output is a plot:
This is an example ot uroccomp.m output plot
Then the function outputs the statistics computation:
ROC CURVES COMPARE
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………..ROC1 ROC2
——————————————————————————–
AUC 0.8994 0.9709
S.E. 0.0308 0.0166
——————————————————————————–
z 2-tails p-value
2.0445 0.040907 The areas are statistically different
where AUC is Area under the curve and S.E. is Standard Error.
If any problems occurs in execution, or if you found a bug, have a suggestion or question just contact me at:
giuseppe dot cardillo-edta at poste dot it
You can visit my homepage http://home.tele2.it/cardillo
My profile on XING http://www.xing.com/go/invita/13675097
My profile on LinkedIN http://it.linkedin.com/in/giuseppecardillo
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