|Date: ||Wed, 27 Sep 2006 08:07:56 -0400|
|Reply-To: ||Peter Flom <Flom@NDRI.ORG>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||Peter Flom <Flom@NDRI.ORG>|
|Subject: ||Re: Survival analysis|
|Content-Type: ||text/plain; charset=US-ASCII|
>>> Rahuldev Sharma <Rahuldev.Sharma@SYMPHONYSV.COM> 9/27/2006 7:13 am
I am trying to fit a survival model to find out time to a
single/multiple event "t". After getting the S(t), how do I find out
Can I just get inverse of it?
What sort of survival model? Parametric or semi-parametric? Using
Or, better, write back to SAS-L with an explanation of your data and
what you are trying to find out, what variables you have, what N is, and
This is not pertaining to any medical related application.
OK, but what IS it pertaining to?
Also how should I structure the data pertaining to my observation
window, scoring window and prediction window?
I am not sure what you mean by any of these windows....
How do I identify dependent covariate from list of variables and how do
I make use of it?
'covariate' is often used as a sort-of synonym for INDEPENDENT
variable. I am not sure what a dependent covariate would be....
Please note that I'm quite new to the survival analysis, hence some of
my question might sound irrelevant.
No problem. We all start somewhere. No one is born knowing this
stuff. But without a fuller explanation of what you are trying to do,
it's very hard to provide useful help
Peter L. Flom, PhD
Assistant Director, Statistics and Data Analysis Core
Center for Drug Use and HIV Research
National Development and Research Institutes
71 W. 23rd St
New York, NY 10010
(212) 845-4485 (voice)
(917) 438-0894 (fax)