Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

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


From   Tom Trikalinos <ttrikalin@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: is gllamm appropriate? is it necessary?
Date   Tue, 16 Mar 2010 20:16:23 -0400

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
>>
>>
>
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
>

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index