Hi, I am working on a non-inferiority test for ROC studies. Since you are a ROC expert at FDA, my advisor Dr. Mia Markey asked me to come here to ask for your suggestions.
I applied two methods on the same cases and want to compare two paired ROC curves. I found a R package called "rocNIT" (https://cran.rstudio.com/web/packages/rocNIT/) to run non-inferiority tests that are referenced from Jen-Pei Liu et al. Tests of equivalence and non-inferiority for diagnostic accuracy based on the paired areas under ROC curves. STATISTICS IN MEDICINE. DOI: 10.1002/sim.2358. We wonder, are you aware of the "rocNIT" package?
Also, could you please give some suggestions on how to determine the margin when comparing two ROC curves? For example, may we define the difference in areas under curves of 0.05 or 0.1 as the margin for non-inferiority tests?
brandon-gallas
commented
5 years ago
Hi, I am working on a non-inferiority test for ROC studies. Since you are a ROC expert at FDA, my advisor Dr. Mia Markey asked me to come here to ask for your suggestions.
I applied two methods on the same cases and want to compare two paired ROC curves. I found a R package called "rocNIT" (https://cran.rstudio.com/web/packages/rocNIT/) to run non-inferiority tests that are referenced from Jen-Pei Liu et al. Tests of equivalence and non-inferiority for diagnostic accuracy based on the paired areas under ROC curves. STATISTICS IN MEDICINE. DOI: 10.1002/sim.2358. We wonder, are you aware of the "rocNIT" package?
Also, could you please give some suggestions on how to determine the margin when comparing two ROC curves? For example, may we define the difference in areas under curves of 0.05 or 0.1 as the margin for non-inferiority tests?
Originally posted by @zhangyao1994 in https://github.com/DIDSR/iMRMC/issues/31#issuecomment-469405026