--- On Fri, 22/5/09, Tomas M wrote:
> For my data, I am quite certain that the data is not
> missing at random (NMAR). I have reason to believe
> that my missing outcome data is related to the outcome data
> itself. I do have a full set of explanatory variables
> for all of my observations, however.
>
> Does this mean that I cannot use the typical
> remedies? What other options are there for analyzing
> missing data that is non-ignorable?
I have always stayed away from those NMAR models. The problem
is that they just can't produce empirical estimates: They
critically depend on something that can't be seen. I realise
that there are questions out there that are so important that
we must just give the best "guesstimate" we can, even though
under normal circumstance that best guess would not be
considered good enough. Till now I have been able to avoid
those questions, so I don't know the answer to your question.
-- Maarten
-----------------------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
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