Dear Statalisters,
thanks to everyone who taught me that the thing I need is called
"interval censoring" :).
One more survival type question: Is there anything readily available for
survival data analysis in the presence of sample selection? The idea I
have in mind is that of Heckman / treatment regression. I have some
knowledge on how unemployed are allocated to various trainings, and I want
to assess by how much their hazard of finding a job is changing due to the
treatment. I seriously doubt that allocation to those programs is
random: certain people are sent to those programs wp1, and some people are
left alone. Should I try to model this as transitions to different states
(unemployed before the program -- unemployed after the program --
employed, etc.)? Alternatively, is there anything like inverse Mills'
ratio to be used in otherwise standard survival time regression?
--- Stas Kolenikov
-- Ph.D. student in Statistics at UNC-Chapel Hill
- http://www.komkon.org/~tacik/ -- [email protected]
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