Hi,
I have constructed a large data set in which individuals are followed up
from time 0 to an end point 20, ie all individuals are followed up 20 years.
At time of death or at the end of follow up, I know each individuals number
of quality adjusted life years (QALYs), ie the number of years times a
quality weight of each year. Thus individuals which are still alive at year
20 (censored individuals) will have different numbers of QALYs.
How can I estimate for example the income effect on remaining QALYs in such
a data set of censored individuals? If all censored individuals had the same
number of QALYs I guess a Tobit models could be used, but is there any model
that take into account that the censored number of QALYs differ between
individuals?
Yours,
Ulf
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