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Re: st: competing risk
Steve Samuels <firstname.lastname@example.org>
Re: st: competing risk
Wed, 7 Jul 2010 15:09:11 -0400
Welcome to Statalist!
See Chapter 9, especially Section 9.3, of Stephen Jenkins's wonderful
book "Survival Analysis" at
and his lesson 8 on setting up the analysis with Stata at
You don't really have discrete survival times, you have "interval
censored" or grouped times To quote Stephen (Lesson 8): "If one needs
to use a discrete time model because one has interval-censored data
(continuous survival times are available only in grouped form), then
modelling is rather complex, and one needs special programs to
estimate the models" There is an exception, I think: if you have no
(or almost no) loss-to-follow up within intervals, then you can use
the "multinomial logit" model that Stephen describes-just censor those
"lost" individuals at the start of the interval.
Questions about data with this structure (probably the same data set!)
come up from time to time here. I always wonder why these surveys did
not ask about dates of transitions prior to interview, even on a
subsample; that would greatly enhance the usefulness of the data.
Also, the questions always assume implicitly that nobody changed state
twice in an interval. (e.g. unemployed--> open-ended -> fixed term).
18 Cantine's Island
Saugerties NY 12477
On Wed, Jul 7, 2010 at 6:02 AM, <email@example.com> wrote:
> Dear all,
> I am running a survival analysis with discrete time data using a stock sample
> (1750 individuals followed up one, three and five years after graduation).
> The period at risk of being employed may ends in two competing events, namely
> fixed term and open ended contracts.
> I am new in using Stata. Could anyone please advise me how to deal with
> competing risk in a discrete time setting?
> In a single risk model I have already organized the data so that there is one
> row per person per each time at risk of being employed in a fixed or open ended
> Thank you for your attention,
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