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st: Inverse probability of treatment weights
From
David Torres <[email protected]>
To
[email protected]
Subject
st: Inverse probability of treatment weights
Date
Sun, 24 Oct 2010 17:25:34 -0400
I've read Fewell et al.
(http://www.hsph.harvard.edu/causal/software/fewell_stataj04.pdf) on
the construction of inverse probability of treatment weights, but
wonder whether i have things correct.
It looks like I have to create stabilized and censoring weights on my
longitudinal data, but I'm not sure what predictors should be in the
logistic model. Any tips?
My outcome for the stabilized weights is whether a respondent was
interviewed (0=no 1=yes). For the censoring weight, the outcome is of
course whether the respondent was not followed up (1=censored 0=not
censored). My data are in long format. Do these sound like the right
outcomes?
Diego
--
David Diego Torres, MA(Sociology)
PhD Candidate in Sociology
2044 Population Studies Center
University of Michigan Institute for Social Research
Ann Arbor MI 48106-1248
Tel 734.763.4098
Fax 734.763.1428
torresd at umich dot edu
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