Dear Carlo,
Thanks for the quick response.
I tried the following command.
stcox age, cluster(id)
But what to do after that. I looked at the reference book but I am lost.
Many thanks,
Deepa
On Tue, May 12, 2009 at 3:36 AM, Carlo Lazzaro
<[email protected]> wrote:
> Dear Deepa,
> provided that the proportional risk assumption holds, a possible solution
> would be to switch to the semiparamentric Cox regression model, with the
> option -cluster(patient)- (please, see -help stcox-). In this way, you would
> correctly assume that patients are independent, whereas receuurences within
> the same patient aren't.
> This topic (like many others) is covered in Cleves MA, Gould WG, Gutierrez
> R. An Introduction To Survival Analysis Using Stata. Revised edition.
> College Station: StataPress, 2006: 148-152.
>
> Another possible (but trickier option) would be considering a Markov model
> (please, see Sonnenberg FA, Beck JR. Markov models in medical decision
> making: a practical guide. Medical Decision Making 1993;13:322-339.
>
> HTH and Kind Regards,
> Carlo
> -----Messaggio originale-----
> Da: [email protected]
> [mailto:[email protected]] Per conto di Deepa Aggarwal
> Inviato: lunedì 11 maggio 2009 19.52
> A: [email protected]
> Oggetto: st: Kaplan Meier graph in longitudinal data
>
> Hi All,
>
> I have the following longitudinal data :
>
> id d_entry d_censor status age x2
> 1 20jan2008 22jan 2008 0 62 0
> 1 22jan 2008 24jan 2008 0 62 0
> 1 24jan 2008 26jan 2008 0 62 1
> 1 26jan 2008 28jan 2008 1 62 0
> 2 13jan 2008 18jan 2008 0 70 0
> 2 18jan 2008 20jan 2008 0 70 1
> 2 20jan 2008 24jan 2008 0 70 0
> 2 24jan 2008 26jan 2008 1 70 1
>
> Here id is patient id number, d_entry is the date of entry, d_censor
> is the date of censoring, status is the censoring variable, age is
> fixed for each id, x2 changes with time for each id.
>
> First I stset the above mentioned data by using the following command:
> stset d_censor, id(id) failure (status==1) origin (time d_entry)
>
> Now I want to get a Kaplan meier graph . I know if there is one event per
> id, then sts graph can be used.
> But in recurrent event models, what command should be used?
>
>
> Thanks for your consideration.
>
> Deepa
>
>
>
> --
> Deepa
>
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>
>
>
> *
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>
--
Deepa
*
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