Re: st: finding the last observation in a survival dataset

[Michael McCulloch <mm@pinest.org>]

Sorry Maarten that I didn't fully explain my question. I will be 
estimating the probability of being censored using a Cox regression, 
with
	dependent variable: C==0/1 in the last observation time for 
each subject
	predictor variables: baseline covariates
It's for the method by Robins, 2000 called "Inverse Probability of 
Censoring Weighting."
That's why I want to find the last observation time for each subject.
Michael



> -stdes- will give you that proportion.
>
> -- Maarten
>
> --- Michael McCulloch <mm@pinest.org> wrote:
>
> >  Hi,
> >  I would like to learn how to identify the last observation of each
> >  individual subject within a longitudinal data set.
> >
> >  I'm using the hip2.dta  data set, and have run _stsplit_  to create
> >  one observation per failure time for each subject. Note that subject
> >  id==1 observed a failure during observation time, whereas subject
> >  id==48 did not.
> >
> >  use hip2.dta, clear
> >  stsplit, at(failures) riskset(riskid)
> >  sort id time0
> >  list id time0 time1 protect fracture if id==1 | id==48
> >
> >  In order to estimate a subject's probability of being censored, I
> >  will create a new variable, C, which is equal to zero for a subject's
> >
> >  last failure time if the subject was not censored, and is equal to
> >  one subject was censored.
> >
> >  How can I identify the last observation of each individual subject
> >  within a longitudinal data set, so that I can create my new variable
> >  without having to manually search for that last observation?
> >
> >
> >  --
> >
> >  Best wishes,
> >  Michael McCulloch
> >
> >
> >
> >  Pine Street Foundation
> >  124 Pine St., San Anselmo, CA 94960-2674
> >  Tel:	(415) 407-1357
> >  Fax:	(415) 485-1065
> >  mcculloch@pinestreetfoundation.org
> >  www.pinestreetfoundation.org
> >  *
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>
> -----------------------------------------
> Maarten L. Buis
> Department of Social Research Methodology
> Vrije Universiteit Amsterdam
> Boelelaan 1081
> 1081 HV Amsterdam
> The Netherlands
>
> visiting address:
> Buitenveldertselaan 3 (Metropolitan), room Z434
>
> +31 20 5986715
>
> http://home.fsw.vu.nl/m.buis/
> -----------------------------------------
>
>
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