Thanks. Actually I thought of something like Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983; 148: 839–843. http://radiology.rsna.org/content/148/3/839.full.pdf+html Has anybody R-code for this or something similar but newer? The question is just easy - How many subjects do I need if I want to show that my diagnostic test is not only a game of dice. Data for input are the epected AUC, alpha and beta,.... Would be great if somebody has a solution! Karl
----- Ursprüngliche Mail ---- Von: Greg Snow <greg.s...@imail.org> An: Karl Knoblick <karlknobl...@yahoo.de>; "r-h...@stat.math.ethz.ch" <r-h...@stat.math.ethz.ch> Gesendet: Dienstag, den 9. August 2011, 19:45:12 Uhr Betreff: RE: [R] Sample size AUC for ROC curves If you know how to generate random data that represents your null hypothesis (chance, auc=0.5) and how to do your analysis, then you can do this by simulation, simulate a dataset at a given sample size, analyze it, repeat a bunch of times and see if that sample size is about the right size. If not, do it again with a different sample size until you find one that works for you. -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Karl Knoblick > Sent: Monday, August 08, 2011 3:29 PM > To: r-h...@stat.math.ethz.ch > Subject: [R] Sample size AUC for ROC curves > > Hallo! > > Does anybody know a way to calculate the sample size for comparing AUC > of ROC > curves against 'by chance' with AUC=0.5 (and/or against anothe AUC)? > > Thanks! > Karl > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting- > guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
