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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
Comments:   To: Rahuldev Sharma <Rahuldev.Sharma@SYMPHONYSV.COM>
In-Reply-To:   <F1E2321421E07D47AFB0B84C6EC694DD0272217C@BLRMAIL01.symphonysv.com>
Content-Type:   text/plain; charset=US-ASCII

>>> Rahuldev Sharma <Rahuldev.Sharma@SYMPHONYSV.COM> 9/27/2006 7:13 am >>> wrote

<<< 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 t. Can I just get inverse of it? >>>

What sort of survival model? Parametric or semi-parametric? Using which PROC?

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 so on.

<<< 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

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 http://cduhr.ndri.org www.peterflom.com New York, NY 10010 (212) 845-4485 (voice) (917) 438-0894 (fax)


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