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


From   Michael McCulloch <[email protected]>
To   [email protected]
Subject   Re: st: finding the last observation in a survival dataset
Date   Sun, 27 Apr 2008 11:21:24 -0700

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 <[email protected]> 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



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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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