Hi All,

After doing some extensive googling, searching for ways to assess normality
for linear mixed models, I can honestly say my head is swimming in
different proposed techniques that may or may not be valid.  Also, when
reading the literature, I find that few studies that use linear mixed
models and random regression actually explicitly address how they assess
normality.  What are the rules with normality with mixed models (if there
are any) and what are your techniques to assess normality?  Any input that
you can provide would be great and hopefully we help to settle my mind on
this issue.

Thank you,
Jacob

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