[R-sig-ME] R-sig-mixed-models Digest, Vol 47, Issue 39

Ryan King c.ryan.king at gmail.com
Mon Nov 22 13:50:00 CET 2010

It's just a caveat; neither the variance inflation of Kackar and
Harville (84) nor the t-statistics degree of freedom juggling that SAS
uses are being applied, so the variance is understated relative to
those.  My understanding is that it makes little difference in many
cases in practice, and I have no idea if the coverage properties
perform as advertised.

Ryan King
Dept Health Studies
University of Chicago

On Mon, Nov 22, 2010 at 5:00 AM,
<r-sig-mixed-models-request at r-project.org> wrote:
> Date: Sun, 21 Nov 2010 18:11:54 +0100
> From: Petar Milin <pmilin at ff.uns.ac.rs>
> To: Dimitris Rizopoulos <d.rizopoulos at erasmusmc.nl>
> Cc: R-SIG-LMER <r-sig-mixed-models at r-project.org>
> Subject: Re: [R-sig-ME] Are prediction interval values ungettable?
> Message-ID: <4CE952DA.1020208 at ff.uns.ac.rs>
> Content-Type: text/plain; charset=ISO-8859-1; format=flowed
> This is right, but I have compared values I get with the below procedure
> explained by Andrew and the end points of whiskers on the caterpillar
> plot (I tried to approximate them the best I could), and they do match
> for five different data sets and models.
> Best,
> PM

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