I am having some difficulty determining the most appropriate way to
model a process.
I have time series (month by month) data on a set of subjects, most of
whom (but not all) make a single transition from "off" to "on". My goal
is to estimate the contributions of set of time-varying and
time-invariant independent variables to the probability of this transition.
My not-so-deep understanding of survival time and hazard models suggest
that they are not what I'm looking for here. Can anybody point me in the
right direction? (Please don't spend the time on a detailed explanation;
although I'd appreciate it, I don't want to impose that much.) Thanks.
-ml
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