Dear stata listers
I want to make logistic regressions in rare events data which are obtained
from a complex clustered survey. So far I used the svylogit command to
take account of the clustering of the data. I also used the weight command
to control for different selection probabilities.
However, since I am also dealing with a rare event (5-6%) it might be
important to correct for the bias when the observed events are rare. I
know the relogit command from Gary King. However, there does not seem to
be an option to run this command with data from a non-simple random
sample.
In your view, what is more important: taking account of the clustering of
the data or correcting for the rare-events bias?
Best would obviously be a command that can do both. Is there such a
command?
thanks for your consideration
best regards from Switzerland
Heiko
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