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.kransdorf at
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
>
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>
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