Hi:
I would recommend reading the documentation about GLLAMM , see
Rabe-Hesketh, S., Skrondal, A. and Pickles, A. (2004). GLLAMM Manual. U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 160.
There are also some worked examples dealing with survey design and analysis in the www.gllamm.org website.
Good luck ,
Hind
Hind Sbihi
School of Environmental Health
University of British Columbia
-----Original Message-----
> Date: Wed Feb 06 12:13:48 PST 2008
> From: "Ward Vanlaar" <[email protected]>
> Subject: st: RE: Stata's ability to do multi-level analysis on imputed surveydata
> To: [email protected]
>
> Off the top of my head I'd say Stata would be able to do what you want,
> but for specialized multilevel problems you may also want to check out
> MLwiN at http://www.cmm.bristol.ac.uk/
> Ward
>
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On Behalf Of Malinda
> Kennedy
> Sent: Wednesday, February 06, 2008 2:46 PM
> To: [email protected]
> Subject: st: Stata's ability to do multi-level analysis on imputed
> surveydata
>
> Hello stata users,
>
> I am wrestling with some analytic issues around some survey data. I am
> using the data to perform (2-level) multilevel analyses. In so doing, I
> need to account for the complex survey design (i.e. use "svy" commands)
> and use the subpop command to look at specific subpopulations. I also
> need to dealing with the multiply imputed income data, (reconciling the
> 5 distinct iterations of imputed data) all in a program that can perform
> multilevel logistic analyses.
>
> I've encountered a good bit of difficulty identifying one program that
> can do it all (or even two programs that can do it all and relate to one
> another!) I think Stata can do this, but I am new to Stata, so I am not
> positive. Does anyone have any inclinations about how what statistical
> program is best to deal with these issues?
> Can anyone recommend a book on stata programming that will help me learn
> how to do this (assuming stata is the best fit).
>
>
> Any advice would be greatly appreciated. By the way, thanks again for
> your help with my other question for another analysis.
>
> Sincerely,
>
> Malinda Kennedy
>
>
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>
>
> *
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