...
The remaining observations have been censored prior to the last exit
time (t=96).
Also, the survival curve is relatively straight which would suggest a
constant risk of failure over time or, more precisely, a constant hazard
over time.
______________________________________________
Kieran McCaul MPH PhD
WA Centre for Health & Ageing (M573)
University of Western Australia
Level 6, Ainslie House
48 Murray St
Perth 6000
Phone: (08) 9224-2701
Fax: (08) 9224 8009
email: [email protected]
http://myprofile.cos.com/mccaul
http://www.researcherid.com/rid/B-8751-2008
______________________________________________
If you live to be one hundred, you've got it made.
Very few people die past that age - George Burns
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Tina
Hernandez-Boussard
Sent: Tuesday, 25 August 2009 11:03 AM
To: [email protected]
Subject: st: Re: survival analysis
Sorry, to add more detail, here are my data
------------------------------------------------------------------------
------
397 total obs.
0 exclusions
------------------------------------------------------------------------
------
397 obs. remaining, representing
58 failures in single record/single failure data
8262.5 total analysis time at risk, at risk from t = 0
earliest observed entry t = 0
last observed exit t = 96
So if I only have 58 failures out of 397 obs, why is my survival curve
look like this:
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