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Re: st: is gllamm appropriate? is it necessary?-more information
From
Jessica Bishop-Royse <[email protected]>
To
[email protected]
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 <[email protected]> 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
> [email protected]
>
> 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/