Sample size calculation with wrong zalpha? about proc HOT 3 CLOSED

Thanks for your report!

The Obuchowski (2004) paper describes one-sided tests, in which case pROC returns the expected results:

> power.roc.test(auc=0.7, sig.level=0.05, power=0.9, kappa=1.0, alternative="one.sided")

     One ROC curve power calculation 

         ncases = 32.65397
      ncontrols = 32.65397
            auc = 0.7
      sig.level = 0.05
          power = 0.9

However you are right this is looking weird. I will look into it.

from proc.

This is now fixed for the one ROC curve case. Note that resulting values are unchanged and were correct already.

I still need to look into it for the two ROC curves case, where the same mistake apparently occurs.

from proc.

Fixed in the 2 ROC curves and list of parameters cases too. It was a good occasion to cleanup the code at the same time.

Again, no difference in the output. But clearer, and more appropriate use of the distributions.

Thanks again for reporting this inconsistency and helping make pROC better.

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