Hi Nicole,
On Sep 18, 2013 7:13 PM, "Nicole Michel" <nicole.l.michel1@gmail.com> wrote:
>
> 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).

Depends on what you want to know. Do you just want to test the null that
all three times are the same or do you want to test differences between
specific time points?

>
> 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)

There is no such thing.

 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?

This is not a question we can answer for you. You have to decide what is
important. But I will say that if there are differences among the time
points I would want to know where the differences are.

Hope this helps,
Ista

>
> Thanks in advance!
>
> Best,
> Nicole Michel
> --
> *********************************************************
> Nicole L. Michel, PhD
> School of Environment and Sustainability,
> University of Saskatchewan
> *********************************************************
>
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>
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