[R-sig-ME] [Fwd: effective sample size]

[David Atkins]

This was just posted to the multilevel listserv, and I have taken a very 
quick glance.  It appears to offer an alternative form for estimating 
degrees of freedom.  It's focused on longitudinal data, and I have not 
looked closely enough to see whether it would be more generally 
applicable to mixed-models (multilevel, nested, crossed, etc.) or 
whether it would "scale up" for larger problems.

Given all the hoo-hah around dfs, thought I would at least kick it out 
to the group.

cheers, Dave

-------- Original Message --------
Subject: effective sample size
Date: Tue, 17 Nov 2009 09:12:47 -0600
From: Stas Kolenikov <skolenik at GMAIL.COM>
Reply-To: Multilevel modelling discussion list <MULTILEVEL at JISCMAIL.AC.UK>
To: MULTILEVEL at JISCMAIL.AC.UK

The recent issue of The American Statistician contains a pretty neat
paper on the effective sample size and degrees of freedom in
longitudinal studies: see
http://www.citeulike.org/user/ctacmo/article/6129798. Highly
recommended; there aren't that many people who understand longitudinal
data as well as the Geert duo.

-- 
Stas Kolenikov, also found at http://stas.kolenikov.name
Small print: I use this email account for mailing lists only.

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-- 
Dave Atkins, PhD
Research Associate Professor
Center for the Study of Health and Risk Behaviors
Department of  Psychiatry and Behavioral Science
University of Washington
1100 NE 45th Street, Suite 300
Seattle, WA  98105
206-616-3879
datkins at u.washington.edu