Article View: bit.listserv.stat-l
Article #3654A Survival Analysis Question
From: ROGERLEWIS
Date: Wed, 18 Dec 1991 23:03
Date: Wed, 18 Dec 1991 23:03
32 lines
1957 bytes
1957 bytes
Dear Stat-L List:
I need some help getting started in doing a proportional hazards
type analysis on some censored survival data, using SAS. Warning:
I know very little about survival analysis!
The Problem:
I have data on about 200 children who have had head trauma and are
therefor at risk of suffering a seizure. I have several independent
variables that are thought to influence their risk of having a seizure,
for example, age (continuous), results of the cat scan of their head
(categorical), and the initial Glasgow coma scale (an integer from 3 to 15),
etc. For each child I know whether or not a seizure was observed and,
if one was observed, approximately how long after the head trauma (within one
hour, one to 12 hours, within 12 hours to 3 days, etc). If no seizure
was observed, I know how long the child was observed, after which we have
no idea what happened.
The Questions:
1. Is the proportional hazards model reasonable? If not, what should
I use?
2. How does one get SAS to do this type of survival analysis? Please give
me explicit code as I have lots of computer experience but only a little
SAS experience.
Thanks for helping a beginner!
Roger J. Lewis
Department of Emergency Medicine
Harbor-UCLA Medical Center
Technical Details
Message-ID:
<STAT-L%91121819051931@VM1.MCGILL.CA>Path:
arc1-ca.pugleaf.net!gmdzi!ira.uka.de!yale.edu!think.com!zaphod.mps.ohio-state.edu!swrinde!news.dell.com!paladin.american.edu!auvm!HARBOR1.BITNET!ROGERLEWISShow Full Headers
Complete Article Headers
X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: f5efb,5b55a08c3b1cde17,start X-Google-Attributes: gidf5efb,public X-Google-ArrivalTime: 1991-12-23 11:22:21 PST Path: arc1-ca.pugleaf.net!gmdzi!ira.uka.de!yale.edu!think.com!zaphod.mps.ohio-state.edu!swrinde!news.dell.com!paladin.american.edu!auvm!HARBOR1.BITNET!ROGERLEWIS From: ROGERLEWIS@HARBOR1.BITNET Newsgroups: bit.listserv.stat-l Subject: A Survival Analysis Question Message-ID: <STAT-L%91121819051931@VM1.MCGILL.CA> Date: 18 Dec 91 23:03:00 GMT Sender: "STATISTICAL CONSULTING" <STAT-L@MCGILL1.BITNET> Lines: 32 Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU Original_To: JNET%"stat-l@mcgill1.bitnet"