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Re: st: gllamm or SVY


From   Steve Samuels <sjsamuels@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: gllamm or SVY
Date   Fri, 23 Apr 2010 08:22:42 -0400

Irene,
In Stata, -gllamm- is your only choice right now. Stata's -xt-
commands do not accept the -svy- prefix or probability weights.
-gllamm- accepts probability weights and a cluster variable, but not
strata.  If you use -gllamm- you will have standard errors that are
too large, but this can be mitigated,  if you have few countries, by
including country  as a fixed-effect predictor rather than as the
highest-level random effect,

Steve

On Fri, Apr 23, 2010 at 5:57 AM, Irene Moral <imoral@eapsardenya.cat> wrote:
> Dear all,
>
> I'm analysing a sample drawn from a stratified cluster designed study.
>
> In my study, I considered countries as strata, health centers in each
> country as clusters and then patients are selected within each cluster.
>
> I'm using the svyset and all the svy commands to define the sample design
> and to run analysis, but some people asked me about using multilevel
> analysis instead of svy.
>
> I have understood that other options are to use the gllamm command or to
> panel data as longitudinal and use xt commands, żit is true?
>
> can anybody explain in which cases is more useful to use one than the other?
> or what type of errors am I exposed to when using svy?
>
> thanks in advance
>
> Irene
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-- 
Steven Samuels
sjsamuels@gmail.com
18 Cantine's Island
Saugerties NY 12477
USA
Voice: 845-246-0774
Fax:    206-202-4783

*
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