I personally do a lot of work with multiple comparisons. However, I use
-parmest-, -dsconcat- and -metaparm- to produce a dataset with 1
observation per comparison, and -smileplot- and -multproc- to do the
various multiple-test procedures.
The -parmest- package (which includes -metaparm-), the -smileplot-
package (wiich includes -multproc-), and the -dsconcat- package, can all
be downloaded from SSC. More papers on all of these packages can be
downloaded frommmy website (see my signature below).
I hope this helps.
Roger
Roger B Newson
Lecturer in Medical Statistics
Respiratory Epidemiology and Public Health Group
National Heart and Lung Institute
Imperial College London
Royal Brompton campus
Room 33, Emmanuel Kaye Building
1B Manresa Road
London SW3 6LR
UNITED KINGDOM
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: [email protected]
Web page: www.imperial.ac.uk/nhli/r.newson/
Departmental Web page:
http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/pop
genetics/reph/
Opinions expressed are those of the author, not of the institution.
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Feiveson,
Alan H. (JSC-SK311)
Sent: 11 March 2008 13:26
To: [email protected]
Subject: st: Stata has disappointing support of contrasts/multiple
comparisons in mixed ANOVA
Hi - I have been repeatedly asked by people who I convinced to buy
Stata how to do multiple comparisons of interaction effects under more
"complicated" anova models such as those with at least one factor random
and possibly with repeated measures, etc. Apparently Stata does not have
a built-in command/option for multiple comparisons for anything but a
one-way model and does not even support approximate methods for such
comparisons other than using xtmixed and creating all the contrasts and
tests "by hand". Even then, further processing has to be undertaken to
account for multiple testing.
Embarassingly enough, I have had to refer people to SAS to do these
types of comparisons without a lot of customized programing. Am I
missing something or is Stata really woefully deficient in this area?
Al Feiveson
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* http://www.ats.ucla.edu/stat/stata/
