[18929] in s-news-athena
[S] Survival Analysis with Interval-Censored Data
daemon@ATHENA.MIT.EDU (John Thaden)
Thu Aug 12 17:21:16 1999
Message-Id: <3.0.3.32.19990812161632.006ecae8@pop.flash.net>
Date: Thu, 12 Aug 1999 16:16:32 -0500
To: s-news@wubios.wustl.edu
From: John Thaden <jjthaden@flash.net>
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I have a large dataframe that is structured like a life table, i.e., each
row represents an interval between observations, and there are columns
time1 = start of the interval
time2 = end of interval
alive = number alive at time2
dead = number dead at time2
lost = lost to followup within interval
killed = accidently killed at time2 (I'm working with flies here!).
Since many (most?) survival analysis functions seem to expect data arranged
so each row is an individual (or an event occuring to an individual), I'm
converting to this form.
But I wonder if the survival functions in S-Plus 4.5 Release 2 will be much
help? For instance, I read the following in the help document for Surv():
DESCRIPTION
Create a survival object, usually used as a response variable
in a model formula.
.
.
.
Presently, the only methods allowing interval censored data are the
parametric models computed by survreg, so the distinction between
open and closed intervals is unimportant. The distinction is important
for counting process data and the Cox model but interval censoring is
currently not implemented for coxph.
Is this really true? Am I wasting my time grooming my dataframe for S-Plus?
************************************************************
John J. Thaden, Ph.D., Instructor jjthaden@life.uams.edu
Department of Geriatrics (501) 257-5583
University of Arkansas for Medical Sciences FAX: (501) 257-4822
mail & ship to: J. L. McClellan V.A. Medical Center
Research-151 (Room GB103 or GC124)
4300 West 7th Street
Little Rock AR 72205 USA
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