Your question has effectively nothing to do with R, so is off topic
here. Post on a statistics or bioinformatics site like
stats.stackexchange.com .
I'll just mention that this is a ubiquitous issue in, e.g. gene
testing (p>>n), is controversial, philosophical, and complex. You may
have a good bit of reading to do.
-- Bert
On Tue, Jul 23, 2013 at 7:50 AM, Jie <jimmycloud at gmail.com>
wrote:> Dear All,
>
> I performed thousands of testings and obtained p-values.
> And then I did two-sided uniform KS test of the p-values, the result
> claimed it is uniform.
> So does it mean that my model are wrong? Because I expect more small
> p-values near 0.
> This is a preliminary step before correcting the multiplicity.
> Attached is hist of p-values (does this list allow attachment?). The ks
test:
>
> One-sample Kolmogorov-Smirnov test
>
> D = 0.0493, p-value = 1.388e-06
>
> alternative hypothesis: two-sided
>
> Thank you for your attention.
>
> Best wishes,
> Jie
>
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> and provide commented, minimal, self-contained, reproducible code.
>
--
Bert Gunter
Genentech Nonclinical Biostatistics
Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm