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Re: Survival analysis

To: jmp-l@lists.biostat.wustl.edu
Subject: Re: Survival analysis
From: Bassam A Dahman/HSC/VCU <bdahman@vcu.edu>
Date: Thu, 2 Feb 2006 10:36:38 -0500
In-reply-to: <F5CC293600CBD34EAE18786E01870829040AD1DE@amfrk-cougar.Sygen.SygenInternational.com>

For the survivors you have to put  (Survival time = the  time till end of the study), it cannot be missing or a fake value

Bassam


"Nader Deeb" <Nader.Deeb@sygeninternational.com>
Sent by: jmp-l-owner@lists.biostat.wustl.edu

02/01/2006 10:22 PM
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[jmp-l] Survival analysis





Subject: Survival data analysis using Fixed Censoring (right censoring).
 
I have two treatments and group of subjects within each treatment that some have died during the test period while others survived to the end.
 
Those that died have a `death_age', while all the survivals
(censored) have missing values.
 
I produced a new column called censored where dead animals get a value of 0 and survivals get a value of 1.
 
The objective is to test if there is a difference in survivability between the two treatments.
 
Is this the right way to arrange this data?
Should I give the survival a `fake' death_age (999)?
What option of the survival analysis would work best (proportional hazard, survival, parametric etc.).
 
Thanks.
 
 
 
 
 
 
 
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