Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: Please advise- Models using gllamm
From
Richard Williams <[email protected]>
To
[email protected], [email protected]
Subject
Re: st: Please advise- Models using gllamm
Date
Sun, 17 Mar 2013 22:47:50 -0500
I didn't read the original post carefully. I do think that mere
mortals might have a chance if they carefully read Stata's SEM
Manual. But then again I worked with LISREL 30+ years ago when
everything had to be written with matrices, so anything written in
something that vaguely resembles English seems a bit more manageable.
At 08:52 PM 3/17/2013, Stas Kolenikov wrote:
If a past president of the American Statistical Association says so,
there should be some merit in his words. Models fitted by -gllamm- are
surely fancy, but you need (i) a serious (matrix based) course in
regression; (ii) a serious course in generalized linear models; (iii)
a serious course in mixed models, and (iv) a serious (multivariate
calculus based) course in nonlinear optimization -- before you can
meaningfully work with -gllamm-. Or, for that matter, a lot of other
advanced models like -sem- or -cmp- or -xtmixed- or -xtmelogit-. If
all you had was a course in ANOVA, you might be able to find a
consultant who could do the work for you for $150/hour (if you are
lucky), and you won't own it. This may be OK for an urgent work if
your student visa expires in two weeks, but I totally agree with Tony
that it hardly makes for good academics.
-- Stas Kolenikov, PhD, PStat (SSC)
-- Senior Survey Statistician, Abt SRBI
-- Opinions stated in this email are mine only, and do not reflect the
position of my employer
-- http://stas.kolenikov.name
On Sun, Mar 17, 2013 at 5:38 PM, Lachenbruch, Peter
<[email protected]> wrote:
> I was thinking more on the line of the accused in a murder trial
of his parents asking for consideration of the fact that he was an orphan.
>
> This a hell of a nerve. It does not augur well for a future in
academics. As simply as i can put it, don't use tools you haven't
studied. Tell your advisor to either give you time to learn about
gllamm or allow you to use other tools.
>
> Peter A. Lachenbruch,
> Professor (retired)
> ________________________________________
> From: [email protected]
[[email protected]] on behalf of JVerkuilen
(Gmail) [[email protected]]
> Sent: Sunday, March 17, 2013 1:17 PM
> To: [email protected]
> Subject: Re: st: Please advise- Models using gllamm
>
> On Sun, Mar 17, 2013 at 2:14 PM, Daniel Kaplan <[email protected]> wrote:
>> Hi Statalisters-
>>
>> I am very quickly running out of time to finish this last step in my
>> dissertation, and I am not only new to complex stats but have never
>> used gllamm. PLEASE someone take a look at my gllamm models and give
>> me some insight as to how to proceed.
>>
>> This is a re-post of my earlier request, as I am desperate for advice
>> and nobody responded as of yet. I know there is a lot to read here,
>> but I figure the more details I can offer the better.
>>
>
> While I feel for you---and you need to realize that your thesis
> advisor has utterly screwed you, too---there's no way that any of us
> can meaningfully help. If I may make an analogy, your request is like
> walking into an acute care center with a gunshot wound to the chest.
>
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/