Re: st: Analysis of SIR or HR with timevarying covariates and late entry big data

[roland andersson <rolandersson@gmail.com>]

I solved it. There was no problem with memory even after stsplit on
ageband and timeband and >73,000,000 posts.
Roland

2013/10/25 roland andersson <rolandersson@gmail.com>:
> I want to compare the incidence rate of a disease in 1st and 2nd
> generation immigrants with that in the native population. I have
> individual population data on total 11,000,000 individuals gathered
> during a 20 year period. The data is year of birth, country of birth
> of the individual and his/her parents, sex, date of immigration and
> emigration, death and operation for the disease. You can only have the
> disease once. The disease varies strongly with age and has been
> decreasing over the study period.
>
> So this is time to event data with late entry. As the disease is
> strongly related to age I think to use age as analysis time. If I use
> Cox-regression I do not know how to adjust for the decreasing
> incidence over time.
>
> I think I can do stsplit on year of birth and analysis time, but I am
> afraid i will run into memory problem.
>
> May I use stir and adjust for year of birth?
>
> Help!
> Roland Andersson
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