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Re: st: Comparing ZINB Models with clustering by subject
I don't see a reply to this yet (did I delete it?), so how about a
quick suggestion?
Look at the Stata procedure called -suest- It is an amazingly
flexible and powerful command.
Dave Jacobs
At 11:25 AM 1/23/2009, you wrote:
I'm modelling a count outcome with an excess of 0
counts. Conceptually and empirically a zero-inflated model makes
sense. It's a repeated measures design. The number of observations
per subject is relatively large (typically over 200) but varies
across subjects. Variance estimates clearly need to be adjusted for
the within subject clustering. I'd like to compare two models: In
model 1 the X is an ordered categorical variable that takes on the
values 0-3. In model 1 the effect of X is assumed linear. In model
2, X is represented by three dummy indicators. I want to compare
the models to determine if the linear effect assumption is
reasonable. Normally I'd just do a likelihood-ratio test but that's
not appropriate when using robust standard errors adjusted for
clustering. How can I compare the two models?
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