[R-sig-ME] prediction in glmer

[Ista Zahn]

Hi Peter,

Did you see

?predict.merMod

Best,
Ista

On Thu, Feb 22, 2018 at 2:49 AM, Schlattmann, Peter
<peter.schlattmann at med.uni-jena.de> wrote:
> Dear all,
>
>
>
>
> I am fitting a generalized linear mixed model with lme4 using glmer
>
>  with binomial errors and logit link. I am using the “predict” function
>
>  to obtain predicted values for the current model and data set.
>
>  Here is some sample code
>
>  m.age50<-glmer(ct_pos~cath_pos+(1+cath_pos|study_no),data=test, amily=binomial,na.action=na.omit)
>
>  result.age50<-predict(m.age50)
>
>
>
> My question is now: How exactly are the predictions calculated? I  could not find any details in the documentation.  Are these  just
>
>  based on the fixed effects setting the random effects to zero? Or are  these empirical Bayes estimates?
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> Is there any documentation available?
>
>
>
>
>
> Thank  you very much in advance.
>
>
>
> Peter
>
>
> Universitätsklinikum Jena - Bachstrasse 18 - D-07743 Jena
> Die gesetzlichen Pflichtangaben finden Sie unter http://www.uniklinikum-jena.de/Pflichtangaben.html
>
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>
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