You are getting a p-value, namely p=0. It's just that, when taken literally, the p-values are wrong.
I'm not familiar with predictABEL, but my guess is that the p-value is below 2e-16 or some such cutoff and gets printed as zero (the means seem to be about 10 standard deviations away from zero, which would give a p-value of 1e-24, plus or minus a few orders of magnitude). You may want to ask the maintainer of predictABEL what the lowest printed p-value is (say 1e-15), then change the p=0 values to "less than 1e-15". Peter On Fri, Oct 3, 2014 at 8:29 AM, Evan Kransdorf <evan.kransd...@gmail.com> wrote: > I am using PredictABEL to do reclassification. When I use it to compare > two models (+/- a new marker), I get some output without a p-valve. Anyone > know why this might be? > > #BEGIN R OUTPUT > NRI(Categorical) [95% CI]: 0.0206 [ 0.0081 - 0.0332 ] ; p-value: 0.00129 > NRI(Continuous) [95% CI]: 0.1781 [ 0.1418 - 0.2144 ] ; p-value: 0 > IDI [95% CI]: 0.009 [ 0.0074 - 0.0107 ] ; p-value: 0 > > [[alternative HTML version deleted]] > > ______________________________________________ > 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.
