Re: st: Re: Survey regression with multi-level models

[mrani1@worldbank.org]

Lisa,

I am also working on a similar problem. I would greatly appreciate if you could
send the code to me.

Thanks and regards

Manju



                                                                                                                    
                      Lisa Jahns                                                                                    
                      <jahns@email.unc.edu>             To:      Statalist@Hsphsun2.Harvard.Edu                     
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                      owner-statalist@hsphsun2.         Subject: st: Re: Survey regression with multi-level models  
                      harvard.edu                                                                                   
                                                                                                                    
                                                                                                                    
                      01/16/2003 12:14 PM                                                                           
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James,
We ran what is essentially a mixed effects model using xtreg, mle, then
bootstrapped the results by stratum and psu level.  email me if you would like
the
code to do this.

lisa jahns
Division of Nutritional epidemiology
University of North Carolina

Date: Mon, 30 Dec 2002 06:53:49 -0700
From: "C.Shaw" <C1015@erols.com>
Subject: st: Survey regression with multi-level models

Dear Statalisters,

I have a multi-level dataset for which I believe a random effects or
random coefficients model would be appropriate.  However, the data were
collected from a probability sample, and I would like to account for
this in the estimation process.  Does anyone know if there is a "svy"
regression equivalent of -xtreg- or -xtgee- in Stata?  I understand that
the population-averaged model allows for pweights, but I do not believe
that it allows for clustering or stratification.  Any guidance would be
greatly appreciated.

- --
James Shaw
Graduate Research Associciate
The University of Arizona
P.O. Box 210207
Tucson, AZ 85721





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