Hi all,
I'm testing 4 different types of treatments regarding a same disease outcome (binary variable 1/0)
I am able to plot 4 roc curves and see relative stats (i.e. p-value, c stat, etc).
Is there a way I could compare all these 4 roc curves and get a p value, so I could say all of them are same or not.
Model I used is:
model outcome=bmi age gender . I used "by treatment" to generate 4 individual plots. I also used https://support.sas.com/kb/52/973.html method to overlay all 4 plots and do the pairwise comparison. I'd like to have a global stat, maybe a chi-quare test to show the p.
Thanks so much
This allows you to compute p-values for differences of each possible pair of ROC curves. https://support.sas.com/kb/45/339.html
I am not aware of a way to get an overall p-value comparing all ROC curves.
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