[R-sig-ME] interpreting Std. error from glmer output
wkmor1 at gmail.com
Tue Sep 15 15:32:49 CEST 2009
Well, it depends.
It depends on what you mean by deviance, you should clarify this (here
is a start http://en.wikipedia.org/wiki/Deviance_%28statistics%29). In
general, deviance is used as a measure of model fit and usually
encountered as a component of Information criteria.
Do you need to take the uncertainty (SE) in model estimates into
account? It is probably a good idea if you are going to make
predictions based on model estimates to also calculate predictions at
the 95CI limits.
On 15/09/2009, at 10:26 PM, Christine Griffiths wrote:
> Thank you. So to clarify, I do not need to calculate the deviance of
> the standard error from the intercept standard error, in the way
> that I would do for the estimate?
> --On 15 September 2009 21:38 +1000 Will Morris <wkmor1 at gmail.com>
>> The SE is a measure of the models uncertainty about the parameter
>> estimates, it takes into account your sample size as well as sample
>> variance. +_2*SE is usually a good estimate of the 95% confidence
>> interval. In other words your treatment effect for treatment2 is
>> probably somewhere between -.6 and -.86.
>> On Tue, Sep 15, 2009 at 8:05 PM, Christine Griffiths
>> <Christine.Griffiths at bristol.ac.uk> wrote:
>> I want to plot my predictions from a model and use the standard error
>> output as a measure of dispersion as I am unable to calculate
>> intervals with mcmcsamp as I have a binomial distribution.
>> I know that the estimates are deviations from the intercept.
>> Fixed effects below:
>> Estimate Std. Error z value Pr(>|z|)
>> (Intercept) 2.90836 0.34041 8.544 < 2e-16 ***
>> treatment2 -0.73507 0.12986 -5.660
>> treatment3 -1.20052 0.12371 -9.705 < 2e-16 ***
>> So the estimate for treatment 2 is 2.9 + -0.73. Are standard errors
>> deviations from the intercept? i.e. 0.34 + 0.13 for treatment 2?
>> Many thanks
>> R-sig-mixed-models at r-project.org mailing list
>> Will Morris
>> Masters of Philosophy candidate
>> Vesk Plant Ecology Lab
>> The School of Botany
>> The University of Melbourne
>> Phone: +61 3 8344 0120
> Christine Griffiths
> PhD student
> School of Biological Sciences
> University of Bristol
> Woodland Road
> Bristol BS8 1UG
> Tel: 0117 9287593
> Fax 0117 3317985
> Christine.Griffiths at bristol.ac.uk
Masters of Philosophy candidate
Vesk Plant Ecology Lab
The School of Botany
The University of Melbourne
Phone: +61 3 8344 0120
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