Dear all
I try to fit a linear mixed model to my data. In short, my dependent variable
reflects changes of the bone level (Knmn, in mm), thus this variable is
continous and provides negative values. I have two different groups (factor
Group) that were measured 3 times each (thus repeated measures, factor
Timepoint). I used the following model:
mod_Knmn<-lmer(Knmn~Group*Timepoint+(1|VPnr),data=data)
When performing a qq-plot my residuals are clearly deviant from the norm
(long-tailed). Due to negative values I cannot perform classical transformation
methods (e.g. log transformation). How could I proccede with this data. Is
there a possibility to use a generalized linear model?
Thanks and all the best
Caroline
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