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

st: nested models in svylogit

From   Daniel D Reidpath <>
Subject   st: nested models in svylogit
Date   Wed, 22 Sep 2004 15:37:50 +1000

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?


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

* For searches and help try:

© Copyright 1996–2022 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index