Dear Carlo,
Thank you for the posting.
Somehow I do not receive a posting from Maarten. Perhaps, it will show up later.
Anyways, is it correct to assume that you enter the censored observations as missing (.)?
Many thanks,
Nick
--- On Tue, 2/2/10, Carlo Lazzaro <[email protected]> wrote:
> From: Carlo Lazzaro <[email protected]>
> Subject: R: Censored observation in survival data
> To: [email protected]
> Cc: "'Nikolaos Pandis'" <[email protected]>
> Date: Tuesday, February 2, 2010, 5:30 PM
> Dear Nick,
> just as an aside to Maarten's reply, something like the
> never-in-reality
> following example might help (flag: Stata 9.2/SE):
> ---------------------begin example---------------
> set obs 10
> g id=_n
> g In=0
> g Out=1
> g Failure=1 in 1/8
> replace Failure=0 if Failure==.
> g Risk_Time= Out-In
> stset Risk_Time, failure(Failure==1)
> sts graph, lost enter
> --------------------ens example--------------------
>
> Kind Regards,
> Carlo
> -----Messaggio originale-----
> Da: [email protected]
> [mailto:[email protected]]
> Per conto di Nikolaos Pandis
> Inviato: martedì 2 febbraio 2010 14.46
> A: [email protected]
> Oggetto: st: Censored observation in survival data
>
> Hi to all.
>
> I would like to ask:
>
> When you enter survival data (before stset) how do you
> declare an
> observation as being censored? How do we let the software
> know to make the
> distinction between the failures and the censored
> observations during the
> predefined follow-up time?
>
> Many thanks,
>
> Nick
>
>
>
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