st: Spatial autocorrelation in logistic regression

[Dick Campbell <dcamp@uic.edu>]

I am doing work in which I have a binary outcome (late stage diagnosis of 
breast cancer)
and a number of variables at the level of the census tract. It is common 
practice in
epidemiology to use aggregate measures of this kind, in addition to 
person-level data,
to model binary outcomes. In many cases, including mine, the census tracts 
are from
a relatively small area (e.g. Cook County Illinois) and, of course, some 
tracts are
contiguous and others separated by some distance. This raises the 
possibility of some
sort of spatial dependence in outcomes. I have not seen any attempt to 
correct for spatial
auto-correlation of this kind in the epidemiology literature. For 
continuous outcomes,
doing so has become a fairly straight forward task, but a search of both 
Stata space and
more generally has not turned up any software for the logistic or probit 
case. I am new to this,
and could easily have missed something, but could anyone direct me to 
either published work
or software resources?




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