st: nested models in svylogit

[Daniel D Reidpath <reidpath@deakin.edu.au>]

I am analyzing survey data using svylogit.

I would like to contrast two models (one nested within the other) in order 
to decide if Model B (the more complex model) provides a significantly 
better fit to the data than Model A.

Using the logistic command, it is possible to calculate the marginal 
reduction in the -2Log(likelihood), and it is distributed approximately as 
Chi-Square.  This isn't provided in svylogit because of the complex design.

The logit command allows a pseudo-likelihood to be calculated with a 
complex survey design, but my novice reading of Aert et al (2002) "Topic in 
modelling clustered data" suggests that pseudo-likelihoods cannot be used 
in the calculation of deviance the way likelihoods could be used.

This is a long winded way of asking my question:

How does one contrast nested logistic models estimated with the svylogit 
command?

Daniel

*****************
Dr Daniel Reidpath            Email: reidpath@deakin.edu.au
Senior Research Fellow
   Social Epidemiology        Tel: Local (03) 9244 6717
School of Health and Social         Int. +61 3 9244 6717
   Development
Deakin University             Fax: Local (03) 9244 6017
221 Burwood Hwy                     Int. +61 3 9244 6017
Burwood VIC 3125
AUSTRALIA
Supported by a VicHealth Senior Research Fellowship
******************

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