Hi,

I ran a repeated-measures generalized linear mixed model with *lme* and I'm
now trying to prepare the output.  My fixed effects each have multiple
levels: 3 levels of TIME and 6 levels of TREATMENT, so the standard
*lme* output
lists estimates, *t*, and *p *values for TIME2, TIME3,
TREATMENT2...TREATMENT6.  It's my understanding that it's better to present
results for TIME and TREATMENT rather than for each level (correct me if
I'm wrong).

I've read many papers and books and searched multiple stats boards, and
can't figure out how to get beta estimates for the overall fixed effects
(i.e., TIME, TREATMENT).  I have beta estimates for each level, and have F
and *P* values for TIME and TREATMENT.  How do you get beta estimates?

Alternatively, should I be reporting either the output of the initial model
(with TIME2, TIME3, TREATMENT2...TREATMENT6), or just the F, df, and *P *for
the overall fixed effects, as typically done when reporting SAS GLIMMIX
results?

Thanks in advance!

Best,
Nicole Michel
-- 
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Nicole L. Michel, PhD
School of Environment and Sustainability,
University of Saskatchewan
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