Thanks for your responses.
I knew that when you include an interaction term in a model you must include
the main effects of each of the factors. Therefore, I assumed that SAS will
do that by default. In most statistical packages, as in R, the main effects
are automatically added when you include
On Jan 4, 2008 6:21 PM, Andrea Previtali <[EMAIL PROTECTED]> wrote:
>
> Sorry, I realized that somehow the message got truncated. Here is the
> remaining part of the SAS output:
>
> Solutions for Fixed Effects:
>
> Effect DIST DW ELI SEX SEAS Estimate Std. Error
> DF t
Sorry, I realized that somehow the message got truncated. Here is the
remaining part of the SAS output:
Solutions for Fixed Effects:
Effect DIST DW ELI SEX SEAS Estimate Std. Error
DF t Value Pr > |t|
Intercept
I'm fitting generalized linear mixed models to using several fixed effects
(main effects and a couple of interactions) and a grouping factor (site) to
explain the variation in a dichotomous response variable (family=binomial). I
wanted to compare the output I obtained using PROC GLIMMIX in SAS
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