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re: st: st: Nested ANOVA


From   David Airey <[email protected]>
To   [email protected]
Subject   re: st: st: Nested ANOVA
Date   Wed, 1 Dec 2004 20:31:45 -0600

Dear John,

You might look towards using a modeling framework designed for large clustered data sets--hierarchical linear modeling or HLM (Raudenbush is an important figure). Although these methods have been developed in educational psychology statistics, they apply to nested data generally. There is a software package called HLM that has a GUI and is easy to set up and run. You can also look at literature on multilevel models.

You might do well to also consider using software that represents the data using a sparse matrix such as in NLME or LME. See Bates' textbook on this software package available in R. LME4 might be a little more speedy. I don't have experience with SAS Proc Mixed, but that also may not require a design matrix size as is required by Stata's ANOVA routines for mixed models.

-Dave

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