Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: st: gllamm or SVY

From   Steve Samuels <>
Subject   Re: st: gllamm or SVY
Date   Fri, 23 Apr 2010 08:22:42 -0400

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,


On Fri, Apr 23, 2010 at 5:57 AM, Irene Moral <> 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
> *
> *   For searches and help try:
> *
> *
> *

Steven Samuels
18 Cantine's Island
Saugerties NY 12477
Voice: 845-246-0774
Fax:    206-202-4783

*   For searches and help try:

© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index