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Re: st: Contextual analysis


From   "Anders Alexandersson" <andersalex@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Contextual analysis
Date   Thu, 8 Jun 2006 16:23:41 -0400

Fernando Proietti <proietti@medicina.ufmg.br> wrote, I summarize:

I have a dataset, from a health survey we conducted. There are about
20,000 participants. Participants are nested in what could be called in
the US as census tracts.

Right now, I am planning a Contextual analysis (the dependent variable =
Self-rated Health, 3 levels) and the explanatory variables measured at
two levels:

Individual level: for example, age, sex, personal income, formal
education

Aggregated level (Census tracts characteristics where participants are
nested): for example, Average Income, Average Age, % of roads that have
sidewalks.

How could I conduct analysis of this type in Stata ?

I am worried with what some authors report as " the residual correlation
between outcomes within groups that may persist after accounting for
individual-level and group-level variables included in the analysis"
I would consider gllamm. See www.gllamm.org and the reference:

Rabe-Hesketh, S. and Skrondal, A. (2006). Multilevel modeling of
complex survey data. Journal of the Royal Statistical Society, Series
A. In press.

--Anders Alexandersson
andersalex@gmail.com
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