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st: RE: loglinear models and survey data


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: loglinear models and survey data
Date   Thu, 29 Sep 2005 21:13:39 +0100

I think that -contract- leading to -glm- is indeed the 
best route. One of the details of -contract-, the -zero-
option, was included with this very task in mind. 

I am not clear on the difficulty with pweights. Can't 
you just include the weight variable in the list supplied
to -contract-? I don't think you need a separate handle
to treat them differently. 

-svy- I leave to its own experts.

Nick 
n.j.cox@durham.ac.uk 

Brian P. Flaherty
 
> First, am a new Stata user and still very much working on all 
> aspects  
> of the language/program.
> 
> I am trying to fit loglinear models to some US national data (the  
> NHSDA).  The data have weights and sample design variables.  
> I'd like  
> to incorporate both in the analysis.  I think I've learned the  
> following:
> 
> - to fit a standard loglinear model, use contract to get the count  
> data and then xi: glm to fit the model
> 
> (I'm open to correction from the start.  If that is wrong or there  
> are better ways to do this, please let me know.)
> 
> However, this doesn't include weights or design information.  And  
> here are the issues that seem to confront me:
> 
> - Ignoring survey design:
> The command contract does not seem to be able to include 
> pweights (Is  
> this something I could add to the ado file, being such a new user?)
> 
> - Including survey design (svyset):
> Can I use svy: poisson on the individual case data?  If so, what is  
> the dependent variable?  (There is no count variable as in the cross- 
> tabulated data used in glm.)
> 
> Or is there a way to use contract in the survey context, have 
> it keep  
> the design variables, and then use svy: poisson on the counts as the  
> dependent variable?
> 
> Other ways to do this would be greatly appreciated.  Thank you for  
> your time and thoughts.

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