..
I don't quite understand the problem here.
The data that you have given us is not multi-event data, at least in the example you provided - there is only one event for id=1 and id=2.
The variable x2 is not an event, it is a time-dependent variable that switches off and on during the course of follow-up.
The -stset- command that you used will produce the following survival-time variables _st, _d, etc.
+--------------------------------------------------------------------------------+
| id d_entry d_censor status age x2 _st _d _origin _t _t0 |
|--------------------------------------------------------------------------------|
1. | 1 20jan2008 22jan2008 0 62 0 1 0 17551 2 0 |
2. | 1 22jan2008 24jan2008 0 62 0 1 0 17551 4 2 |
3. | 1 24jan2008 26jan2008 0 62 1 1 0 17551 6 4 |
4. | 1 26jan2008 28jan2008 1 62 0 1 1 17551 8 6 |
5. | 2 13jan2008 18jan2008 0 70 0 1 0 17544 5 0 |
|--------------------------------------------------------------------------------|
6. | 2 18jan2008 20jan2008 0 70 1 1 0 17544 7 5 |
7. | 2 20jan2008 24jan2008 0 70 0 1 0 17544 11 7 |
8. | 2 24jan2008 26jan2008 1 70 1 1 1 17544 13 11 |
+--------------------------------------------------------------------------------+
You can run -sts graph- on this and get Kaplan=Meier survival curves.
______________________________________________
Kieran McCaul MPH PhD
WA Centre for Health & Ageing (M573)
University of Western Australia
Level 6, Ainslie House
48 Murray St
Perth 6000
Phone: (08) 9224-2701
Fax: (08) 9224 8009
email: [email protected]
http://myprofile.cos.com/mccaul
http://www.researcherid.com/rid/B-8751-2008
______________________________________________
Epidemiology is so beautiful and provides such an important perspective on human life and death,
but an incredible amount of rubbish is published. Richard Peto (2007)
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Deepa Aggarwal
Sent: Tuesday, 12 May 2009 1:52 AM
To: [email protected]
Subject: 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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