Re: st: is gllamm appropriate? is it necessary?

[Tom Trikalinos <ttrikalin@gmail.com>]

I disagree with Michael Norman that you stated your case clearly.
You did not.
In any case take a look at xtmelogit.



On Sat, Mar 13, 2010 at 4:48 PM, Michael Norman Mitchell
<Michael.Norman.Mitchell@gmail.com> wrote:
> Dear Jessi
>
>  You have articulated your problem very well, but I think that we would need
> to know just a little bit more to give you a good answer.
>
>  1. In a couple of sentences, what is your research question.
>  2. What role does "county" play? (Is it just a control variable? Is it a
> clustering variable? Is it a potential variable you want to interact with
> the other variables?)
>  3. How do you want to treat the "cause of death" variable. Do you want to
> model all 9 levels simultaneously? If so, each "cause" would be modeled
> against a "reference cause". Or do you want to model each cause of death
> against all others (e.g. cause 1 vs. all others. cause 2 vs. all others,
> etc.)
>
>  I think that, based on this information, people might have thoughts on the
> statistical model that would answer your question, which then would indicate
> what commands would be appropriate for answering your research question(s).
>
> Michael N. Mitchell
> See the Stata tidbit of the week at...
> http://www.MichaelNormanMitchell.com
>
> On 2010-03-13 11.23 AM, Jessica Bishop-Royse wrote:
>>
>> Hello Statalisters!  Hope you're having a wonderful weekend.
>>
>> I have a small question regarding multilevel modeling.
>>
>> I am working with a dataset with over 300,000 observations for two years
>> of
>> data.  I am trying to model a 9 category nominal dependent variable (cause
>> of death), my independent variables (there are 14, which are continuous
>> and
>> dichotmous) as well as 6 county level indicators.
>>
>> My question this:  is this best done with gllamm?  Does anyone have any
>> other suggestions for a more appropriate model?  Or perhaps a suggestion
>> as
>> to how to speed this up?
>>
>> Any help or suggestions are much appreciated!
>>
>> Thanks so much, in advance.
>>
>> Jessi Bishop-Royse
>>
>>
>
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