Douglas:
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
Hi Bert,
Yes, I am always wary when one software offers something that
other do not.
The censoring I'm faced with (at present) isn't as complicated
as with much 'survival' data. I'm trying to analyze assay data
and have a lower limit of detection (LLD) to contend with.
Once the level of the
PROTECTED] Behalf Of Douglas Grove
Sent: Monday, April 23, 2007 2:29 PM
To: Bert Gunter
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] fitting mixed models to censored data?
Hi Bert,
Yes, I am always wary when one software offers something that
other do not.
The censoring I'm faced
Hi Douglas,
I wonder if frailty models are what you're looking for?
https://stat.ethz.ch/pipermail/r-help/2004-November/061511.html
Cheers,
Andrew
On Mon, Apr 23, 2007 at 10:58:17AM -0700, Douglas Grove wrote:
Hi,
I'm trying to figure out if there are any packages allowing
one to fit
@stat.math.ethz.ch
Subject: Re: [R] fitting mixed models to censored data?
Hi Bert,
Yes, I am always wary when one software offers something that
other do not.
The censoring I'm faced with (at present) isn't as complicated
as with much 'survival' data. I'm trying to analyze assay data
and have
