[R] Left censored responses in mixed effects models

From: Bert Gunter <gunter.berton_at_gene.com>
Date: Mon, 12 May 2008 09:08:25 -0700


Dear R Fellow-Travellers:

What is your recommended way of dealing with a left-censored response (non-detects) in (linear Gaussian) mixed effects models?

Specifics: Response is a numeric positive measurement (of volume, actually); but when it falls below some unknown and slightly random value (depending on how the sample is prepared and measured), it cannot be measured and is recorded as 0.

There is some statistical literature on this, but I was unable to find anything that appeared to me to implement a strategy in any R package. If it matters, I am less interested in inference than in removing possible bias in estimation.

Feel free to respond off-list if you feel that this would not be of general interest.

Cheers,

Bert Gunter
Genentech



R-help_at_r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Mon 12 May 2008 - 16:50:12 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Tue 13 May 2008 - 11:30:36 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive