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Re: st: Contextual analysis
Hi Fernando,
you take a look at this book: Rabe-Hesketh, S. and Skrondal: /Multilevel
and Longitudinal Modeling Using Stata/. College Station, TX: Stata
and read this website
http://www.ats.ucla.edu/stat/stata/Library/cpsu.htm
Regards,
Sebastian
Fernando Augusto Proietti schrieb:
Dear all,
I am an epidemiologist, with some knowledge and training in
biostatistics. 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" (For example: Kawachi I, Berkman L. Neighborhood and
health. Chapter 3: The examination of neighborhood effects on health:
conceptual and methodological issues related to the presence of
multiple levels of organization. Oxford University Press,. 2003)
Thanks in advance,
Fernando A Proietti
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