[R] fitting mixed models to censored data?
gunter.berton at gene.com
Mon Apr 23 20:16:31 CEST 2007
AFAIK, this is subject area of active current research. Diggle, Heagerty,
Liang, and Zeger , 2002, (ANALYSIS OF LONGITUDINAL DATA) say on p.316: "An
emerging consensus is that analysis of data with potentially informative
dropouts necessarily involves assumptions which are difficult, or even
impossible, to check from the observed data." This was ca 1994, I believe,
so I don't know whether this view is still held among experts (which I am
not). But if it is, you may do well to be careful of whatever SAS does even
if you do have to go running off to it.
Genentech Nonclinical Statistics
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Douglas Grove
Sent: Monday, April 23, 2007 10:58 AM
To: r-help at stat.math.ethz.ch
Subject: [R] fitting mixed models to censored data?
I'm trying to figure out if there are any packages allowing
one to fit mixed models (or non-linear mixed models) to data
that includes censoring.
I've done some searching already on CRAN and through the mailing
list archives, but haven't discovered anything. Since I may well
have done a poor job searching I thought I'd ask here prior to
I understand that SAS's proc nlmixed can accomodate censoring
(though proc mixed apparently can't), so if I can't find
something available in R, I'll have to break down and use
that. Please, save me from having to use SAS!
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