Stata The Stata listserver
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

st: cross-classified random effects


From   "Do, Phoenix" <phoenix@rand.org>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: cross-classified random effects
Date   Mon, 22 Mar 2004 15:42:05 -0800

Hello,

I am trying to model risk behaviors for IDUs. Since my data is hierarchical in nature, I want to apply a multilevel model using gllamm. 

My dataset consists of an unbalanced panel in which some 
people are observed only once while others are observed 2 to 
10 times. We want to account for "neighborhood" 
characteristics so we have neighborhood level variables in 
our model. So level 1 would be the individual level time 
series data. Level 2 would be person level. Level 3 would be 
the neighborhood.

However, these people move and are not necessarily in the 
same neighborhood throughout our study.

I believe what I need to do is use a crossed random effects 
model. 

Can you do this in gllaam? And if so, how? I haven't been able to find any reference to this in the manual.

Thank you for any help you can offer,
Phoenix




*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index