[R-sig-ME] P value value for a large number of degree of freedom in lmer

Rolf Turner r.turner at auckland.ac.nz
Tue Nov 23 19:59:33 CET 2010

It is well known amongst statisticians that having a large enough data set will
result in the rejection of *any* null hypothesis, i.e. will result in a small
p-value.  There is no ``bias'' involved.


		Rolf Turner

On 24/11/2010, at 4:06 AM, Arnaud Mosnier wrote:

> Dear UseRs,
> I am using a database containing nearly 200 000 observations occurring in 33
> groups.
> With a model of the form ( y ~ x + (1|group) ) in lmer, my number of degree
> of freedom is really large.
> I am wondering if this large df have an impact on the p values, mainly if
> this could conduct to consider the effect of a variable as significant while
> it is not .
> ... and if it is the case, does it exist a correction to apply on the
> results to take into account that bias.
> thanks !
> 	[[alternative HTML version deleted]]
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