If 'itm' is a covariate with measurement error, then you could also
have a look at the 'JM' package.
I hope it helps.
Best,
Dimitris
----
Dimitris Rizopoulos
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
http://www.student.kuleuven.be/~m0390867/dimitris.htm
----- Original Message -----
From: "Fabian Hefner" <[EMAIL PROTECTED]>
To: "'Terry Therneau'" <[EMAIL PROTECTED]>
Cc: <r-help@r-project.org>
Sent: Wednesday, April 30, 2008 1:25 PM
Subject: [R] Survival Regression with multiple records per subject
Dear R users!
I reformulate the question with another example perhaps my question
will be
more clearly now.
I have several subjects. One subject has multiple records. Only a
starting
point exists the end point is vague.
Here is an example:
itm ID exercise time
1.401869 1 0 1
1.324390 1 0 2
1.324390 1 0 3
1.333338 1 0 4
1.346761 1 0 5
1.315441 1 1 6
1.337812 2 0 1
1.319915 2 0 2
1.351235 2 1 3
itm is the covariate;
ID is the subject Id;
exercise indicates if the subject is dead=1 or alive=0
How can I allocate the multiple records to one subject (for example
record
1-6 are part of subject with ID 1 record 7-9 are part of subject
with ID2)
and process a survival regression.
the "survRegData <- survreg(formula=Surv(time,exercise)~itm,
data=Data,
dist="weibull")" command doesn't take into account that multiple
records are
part of one subject.
Many thanks!
Fabian Hefner
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