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Re: st: is gllamm appropriate? is it necessary?-more information


From   Jessica Bishop-Royse <jessibishoproyse@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: is gllamm appropriate? is it necessary?-more information
Date   Wed, 17 Mar 2010 10:56:28 -0400

you're right.  i am actually using counties in Florida which are 67.
Sorry for the confusion.

On 3/17/10, Nick Cox <n.j.cox@durham.ac.uk> wrote:
> For extra context I guess wildly at what is not explicit here. Jessica
> is using the counties of the US, which are about 3000 in number.
>
> Please remember that this is an international list and that others may
> not share your presumptions.
>
> Nick
> n.j.cox@durham.ac.uk
>
> Jessica Bishop-Royse
>
> Some more information about the project I am working on:
>
> 1.  I have two main research questions here.  One: What county-level
> variables are associated with cause-specific death in 1980?  In 2000?
> And Two: What are the net effects of individual characteristics and
> county level  variables?  What are the changes from 1980 to 2000?
>
> 2.  I don't see county as a control variable- but rather as a cluster
> variable.  In fact, I am not even really interested in county per but
> rather the variables that I have for counties (like % minority, %
> poverty, etc.)  Eventually I would like to make interaction effects
> with county (ruralpoorminority counties versus ruralpoorwhite
> counties, urbanpoorwhite counties, etc.)  Ideally, I would like to add
> these variables to a model along with my individual level predictors.
>
> 3.  As of now, my cause of death variable is 10 categories, 9 causes
> and survival. I would like the ability to model both ways (cause 1
> versus all others and each cause versus survival).
>
> Yesterday at about 2 pm, I set following command up to run.  It ran
> all afternoon, and all night and still hadn't finished.  It went
> through 80 iterations, most of which had the note "not concave" before
> I finally canceled it this morning. I am sure that I am doing
> something wrong and it makes me nervous because I haven't even added
> all the predictors yet.
>
> . gllamm causeofdeath black, i(countynumber)
>
> Iteration 0:   log likelihood = -226514.74  (not concave)
> Iteration 1:   log likelihood = -170460.09  (not concave)
> Iteration 2:   log likelihood = -156165.69
> Iteration 3:   log likelihood = -155236.77  (not concave)
> Iteration 4:   log likelihood = -154882.46
> Iteration 5:   log likelihood = -154869.14
> Iteration 6:   log likelihood = -154848.88  (not concave)
> Iteration 7:   log likelihood = -154814.85
> Iteration 8:   log likelihood = -154814.29
> Iteration 9:   log likelihood = -154814.23
> Iteration 10:  log likelihood = -154814.23
>
> number of level 1 units = 318493
> number of level 2 units = 77
>
> Condition Number = 2.4744641
>
> gllamm model
>
> log likelihood = -154814.23
>
> ------------------------------------------------------------------------
> ------
> causeofdeath |      Coef.   Std. Err.      z    P>|z|     [95% Conf.
> Interval]
> -------------+----------------------------------------------------------
> ------
>        black |    .024678   .0016439    15.01   0.000     .0214559
> .0279
>        _cons |    .024141    .001246    19.37   0.000     .0216988
> .0265831
> ------------------------------------------------------------------------
> ------
>
> Variance at level 1
> ------------------------------------------------------------------------
> ------
>
>   .1547741 (.00038787)
>
> Variances and covariances of random effects
> ------------------------------------------------------------------------
> ------
>
>
> ***level 2 (countynumber)
>
>     var(1): .00002072 (8.730e-06)
> ------------------------------------------------------------------------
> ------
>
>
>
> . gllamm causeofdeath black biryear, i(countynumber)
>
> Iteration 0:   log likelihood = -226590.33  (not concave)
> Iteration 1:   log likelihood = -170468.78  (not concave)
> Iteration 2:   log likelihood = -154843.19  (not concave)
> Iteration 3:   log likelihood = -154785.59  (not concave)
> Iteration 4:   log likelihood = -154772.62  (not concave)
> Iteration 5:   log likelihood = -154753.11
> Iteration 6:   log likelihood = -154738.19
> Iteration 7:   log likelihood = -154738.07  (not concave)
> Iteration 8:   log likelihood = -154738.07  (not concave)
> Iteration 9:   log likelihood = -154738.07  (not concave)
> Iteration 10:  log likelihood = -154738.07  (not concave)
> Iteration 11:  log likelihood = -154738.07  (not concave)
> Iteration 12:  log likelihood = -154738.07  (not concave)
> Iteration 13:  log likelihood = -154738.07  (not concave)
> Iteration 14:  log likelihood = -154738.07  (not concave)
> Iteration 15:  log likelihood = -154738.07  (not concave)
> Iteration 16:  log likelihood = -154738.07  (not concave)
> Iteration 17:  log likelihood = -154738.07  (not concave)
> Iteration 18:  log likelihood = -154738.07  (not concave)
> Iteration 19:  log likelihood = -154738.07  (not concave)
> Iteration 20:  log likelihood = -154738.07  (not concave)
> Iteration 21:  log likelihood = -154738.07  (not concave)
> Iteration 22:  log likelihood = -154738.07  (not concave)
> Iteration 23:  log likelihood = -154738.07  (not concave)
> Iteration 24:  log likelihood = -154738.07  (not concave)
> Iteration 25:  log likelihood = -154738.07  (not concave)
> Iteration 26:  log likelihood = -154738.07  (not concave)
> Iteration 27:  log likelihood = -154738.07  (not concave)
> Iteration 28:  log likelihood = -154738.07  (not concave)
> Iteration 29:  log likelihood = -154738.07  (not concave)
> Iteration 30:  log likelihood = -154738.07  (not concave)
> Iteration 31:  log likelihood = -154738.07  (not concave)
> Iteration 32:  log likelihood = -154738.07  (not concave)
> Iteration 33:  log likelihood = -154738.07  (not concave)
> Iteration 34:  log likelihood = -154738.07  (not concave)
> Iteration 35:  log likelihood = -154738.07  (not concave)
> Iteration 36:  log likelihood = -154738.07  (not concave)
> Iteration 37:  log likelihood = -154738.07  (not concave)
> Iteration 38:  log likelihood = -154738.07  (not concave)
> Iteration 39:  log likelihood = -154738.07  (not concave)
> Iteration 40:  log likelihood = -154738.07  (not concave)
> Iteration 41:  log likelihood = -154738.07  (not concave)
> Iteration 42:  log likelihood = -154738.07  (not concave)
> Iteration 43:  log likelihood = -154738.07  (not concave)
> Iteration 44:  log likelihood = -154738.07  (not concave)
> Iteration 45:  log likelihood = -154738.07  (not concave)
> Iteration 46:  log likelihood = -154738.07  (not concave)
> Iteration 47:  log likelihood = -154738.07  (not concave)
> Iteration 48:  log likelihood = -154738.07  (not concave)
> Iteration 49:  log likelihood = -154738.07  (not concave)
> Iteration 50:  log likelihood = -154738.07  (not concave)
> Iteration 51:  log likelihood = -154738.07  (not concave)
> Iteration 52:  log likelihood = -154738.07  (not concave)
> Iteration 53:  log likelihood = -154738.07  (not concave)
> Iteration 54:  log likelihood = -154738.07  (not concave)
> Iteration 55:  log likelihood = -154738.07  (not concave)
> Iteration 56:  log likelihood = -154738.07  (not concave)
> Iteration 57:  log likelihood = -154738.07  (not concave)
> Iteration 58:  log likelihood = -154738.07  (not concave)
> Iteration 59:  log likelihood = -154738.07  (not concave)
> Iteration 60:  log likelihood = -154738.07  (not concave)
> Iteration 61:  log likelihood = -154738.07  (not concave)
> Iteration 62:  log likelihood = -154738.07  (not concave)
> Iteration 63:  log likelihood = -154738.07  (not concave)
> Iteration 64:  log likelihood = -154738.07  (not concave)
> Iteration 65:  log likelihood = -154738.07  (not concave)
> Iteration 66:  log likelihood = -154738.07  (not concave)
> Iteration 67:  log likelihood = -154738.07  (not concave)
> Iteration 68:  log likelihood = -154738.07  (not concave)
> Iteration 69:  log likelihood = -154738.07  (not concave)
> Iteration 70:  log likelihood = -154738.07  (not concave)
> Iteration 71:  log likelihood = -154738.07  (not concave)
> Iteration 72:  log likelihood = -154738.07  (not concave)
> Iteration 73:  log likelihood = -154738.07  (not concave)
> Iteration 74:  log likelihood = -154738.07  (not concave)
> Iteration 75:  log likelihood = -154738.07  (not concave)
> Iteration 76:  log likelihood = -154738.07  (not concave)
> Iteration 77:  log likelihood = -154738.07  (not concave)
> Iteration 78:  log likelihood = -154738.07  (not concave)
> Iteration 79:  log likelihood = -154738.07  (not concave)
> Iteration 80:  log likelihood = -154738.07  (not concave)
> (Maximization aborted)
>
> .
> end of do-file
>
> .
> What do you think?
>
> *
> *   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/
>


-- 
Jessi Bishop-Royse

http://sites.google.com/site/wakullagirlssoccer/
http://sites.google.com/site/jessicacbishoproyse/Home

"Without a struggle, there can be no progress."
Fredrick Douglass
*
*   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/


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