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From | Austin Nichols <austinnichols@gmail.com> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | Re: st: parents breaking up - multiple failure survival data w. the Anderson-Gill model |
Date | Fri, 15 Jul 2011 15:29:56 -0400 |
Tinne-- This is very interesting data! Switch to discrete time hazard models and maybe semiparametric methods On Friday, July 15, 2011, Tinne Steffensen <tst@sfi.dk> wrote: > Dear Statalist. > I have a dataset containing 135.000 children - and information on their parents in a time period from 1980-2007. I'm only interested in them after the year of the id's birth. So for some id's I have observations for 4 years others over a 20 year time-period. > > I am interested in analyzing the hazard ratios of the parents breakup(=move from shared address). However there is a possibility of the parents breaking up several times during the period, so I wanted to use the multiple failure-time survival data. t 0 is the birth of my id, t is years after the birth and livetog is if the parents live together that year or not. > > Stset, id year > > To give you an example: > +------------------------------------------------------+ > | id group t0 t breakup livetog Inc | > |------------------------------------------------------| > | 1 treatment 0 1 0 1 3 | > | 1 treatment 1 2 0 1 3 | > | 1 treatment 2 3 0 1 4 | > | 1 treatment 3 4 1 0 3 | > |------------------------------------------------------| > | 2 treatment 0 1 0 0 0 | > | 2 treatment 1 2 0 0 2 | > | 2 treatment 2 3 0 0 2 | > |------------------------------------------------------| > | 3 control 0 1 0 0 3 | > | 3 control 1 2 0 1 4 | > | 3 control 2 3 1 0 1 | > | 3 control 3 4 0 1 2 | > | 3 control 4 5 1 0 2 | > +------------------------------------------------------+ > > I have tried following the guideline from http://www.stata.com/support/faqs/stat/stmfail.html - ordered failure events "The Anderson-Gill model". So that there for each id is one observation per event or time interval, I've created the variables var"i" - it looks like the following; > > +------------------------------------------------------+ > | id group t0 t break livetog Inc t0i ti breaki| > |--------------------------------------------------------------------------| > | 1 treatment 0 1 0 1 3 0 3 1 | > | 1 treatment 1 2 0 1 3 3 4 0 | > | 1 treatment 2 3 1 1 4 . . . | > | 1 treatment 3 4 0 0 3 . . . | > |-------------------------------------------------------------------------| > | 2 treatment 0 1 0 0 0 0 3 0 | > | 2 treatment 1 2 0 0 2 . . . | > | 2 treatment 2 3 0 0 2 . . . | > |-------------------------------------------------------------------------| > | 3 control 0 1 0 0 3 . . . | > | 3 control 1 2 0 1 4 . . . | > | 3 control 2 3 1 0 1 0 3 1 | > | 3 control 3 4 0 1 2 . . . | > | 3 control 4 5 1 0 2 3 5 1 | > +-------------------------------------------------------------------------+ > > Along the line of the Anderson-Gill model I have done; > > Stset ti, fail(breaki) exit(ti .) id(id) enter(t0i) > > But following error comes up: option exit invalid. > > 1. Isn't it right to put exit(time i.) since I want to keep the id's after their first breakup and until the observation runs out. > 2. It seems wrong to follow the Anderson-Gill model, when creating so many missings - but in the guideline (3.2.1) there are only observations for the times of event, so that is what I tried creating. Is the missing values for the "i" variables not excluding the values for group and income in the other years from the model? I have a lot of other variables than group and income, that I want to add to the model along the way. > 3. Furthermore I would like to include that breaking up (moving from shared address) is only possible when living together - how do I take this into consideration in my model? > > I have tried reading the guideline, extracts from "An introduction to survival analysis using Stata", googling, reading old statalist posts etc., but I can't seem to find a solution. I hope you can help! > > Thank you for your time. > Kind regards, Tinne S. > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/