Re: st: Competing Hazards with Multiple-Record-per-Subject Data (2)

[Steven Samuels <sjsamuels@gmail.com>]

Break the ties: add a small constant (e.g. 0.001) to the times for one of the failure types. 

Also -stcrreg- (which fits the Fine-Gray model) does not require the augmentation trick, I believe.

-Steve
sjsamuels@gmail.com

Dear statalisters,

in earlier posts implementation of data replication in Lunn/McNeil 1995
Applying Cox Regression to Competing Risks were discussed. Under the subject
line above, Alex Gelber (see below) asked how to implement this particularly
when using multiple-record-per-subject data – unfortunately with no reply.

I stsplitted my data by year to model a linear time trend and age covariates
and thus, I am facing the same problem: stsetting does not work when the
data is replicated along Lunn/McNeil 1995 since at every instant two records
are attached to the id variable. The question is how to solve this stset
problem?

Given that 5 years have passed by since Alex posted, please allow myself to
basically repost this question – maybe even Alex has the answer and is still
subscribed.

Many thanks for your consideration

Stefan


--
Stefan Göke
Ph.D. Candidate
Department of Management
University Paderborn

____________________________



In earlier Statalist posts, May Boggess of Statacorp explained how to
estimate a competing hazard model using Lunn and McNeil's methods A and B.
There seems to be a problem, however, with implementing Lunn and McNeil's
Method B when using multiple-record-per-subject data.

The problem is that to implement Lunn and McNeil Method B, you need to
duplicate each subject's record twice (in the case of two competing
hazards). In the case of multiple-record-per-subject data, when using the
stset command to stset the data, you need to specify the ID variable using
id(idname), where "idname" is the name of the ID variable. But then Stata
gives you an error message, because each ID has two records attached to it
at every instant, and the stset command with multiple-record-per-subject
data only works correctly when there is only one record for each id-time
combination.

For example, in my case, the time variable is "month," the failure variable
is "status," and the id variable is "id," and here is what happens when I
try to stset my data:

. stset month, failure(status) id(id)

id: id
failure event: status != 0 & status < .
obs. time interval: (month[_n-1], month]
exit on or before: failure

----------------------------------------------------------------------------
--
2000 total obs.
2000 multiple records at same instant PROBABLE ERROR
(month[_n-1]==month)
----------------------------------------------------------------------------
--
0 obs. remaining, representing
0 subjects
0 failures in single failure-per-subject data
0 total analysis time at risk, at risk from t = 0
earliest observed entry t = .
last observed exit t = .

Does anyone know how to address this problem? Any help would be much
appreciated.

Alex

--
Alexander Gelber
Ph.D. Candidate
Harvard University Department of Economics
Littauer Center
Cambridge, MA 02138


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