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Re: st: R: Kaplan Meier graph in longitudinal data


From   Deepa Aggarwal <da.aggarwal@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: R: Kaplan Meier graph in longitudinal data
Date   Tue, 12 May 2009 08:33:01 -0400

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
<carlo.lazzaro@tiscalinet.it> 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: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Deepa Aggarwal
> Inviato: lunedì 11 maggio 2009 19.52
> A: statalist@hsphsun2.harvard.edu
> 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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-- 
Deepa

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