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st: GEE with weights for MAR dropout

From   "Tomas Lind" <[email protected]>
To   <[email protected]>
Subject   st: GEE with weights for MAR dropout
Date   Thu, 17 Sep 2009 11:42:25 +0200

Dear Listers,

Weighted GEE for a longitudinal study with five observations and a binary

The GEE method for analysing longitudinal data assumes that dropouts are
MCAR. However, I have read somewhere that there is a modified weighted GEE
that can handle MAR-data. Does anyone know how to do this in Stata. 

(Another option would be to analyze data with a mixed (random) effects
model. However a mixed effect model would produce subject specific
parameters why these results would not be comparable with results from a
GEE-model that have been reported by others. It would also be nice to
compare the results from the ordinary GEE and the weighted GEE in our field
of work.) 


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