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infback
2002 Nov 21
0
Analysis of Data with Observation Weights Revisited
...hts=w) #were each observation has its own id.
The problem with this solution is that gee does NOT allow weights (probably
something that would be fairly simple to modify); thus, the gee option
doesn't really work.
For those who are interested, one work around is to use the Thomas Lumley's
infjack.glm function in the glmerrs.R file at
http://faculty.washington.edu/tlumley/glmerrs.R
and the code is all in the WEAVE package at
http://faculty.washington.edu/tlumley/weave.html
In the example, notice that the SE estimates are much closer to the SE
values in the original model without weights.
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