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May 25, 2012 11:15 AM
(850 views)

Hi all,

I want to fit a model with both fixed and random effects but has a **binary** DV. JMP gives me options for Nominal Logistic / GLM but announces an error when I try to fit the model. Any suggestions are welcome? I figure that JMP must be able to do something at least equivalent to this if it can do do choice models (which this is, but Im having problems getting that function to work with my design).

Cheers,

Adrian

4 REPLIES

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Feb 4, 2013 1:24 PM
(604 views)

I have used JMP 7.0 and know that one cannot use Random effects with logistic regression in that program.

1. Is this still the case for JMP 10.0?? Just want to know since I would consider upgrading (purchasing) if it does this, but definitely not if it does not.

2. Also, will JMP give model selection critieria such as AIC values?

Thank you in advance!

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Feb 5, 2013 10:02 AM
(604 views)

hi guys,

i also didn't like the fact that the logistic regression platform can't take a random effect.

as for deer&dog's question, the logistic regression platform give AIC and BIC by default but in the linear regression you will need to ask for it as you can see in the attached output. i produced it from the "big class" data file.

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Feb 5, 2013 10:35 AM
(604 views)

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Dec 25, 2016 7:49 PM
(598 views)

Can JMP Pro 13 fit a model with both fixed and random effects but has a **binary** dependent variable?

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