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How do I set up a Generalized Linear Mixed Model in JMP 9?

I don't know if JMP is capable of performing a Generalized Linear Mixed Model analysis, with individual ID as a random effect plus several fixed effects.  If this is possible in JMP 9 for Mac OS X, can you please explain step-by-step how I perform the analysis and assign variables as fixed or random effects?  I am also not sure how to interpret the output.  Finally, I see several published papers that produce graphs using estimates generated by GLMs as opposed to the original data themselves.  What are the advantages and disadvantages of this?

Thank you.

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