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st: Re: How does -kwallis2- compute adjusted p-values for significance?
From |
Kit Baum <[email protected]> |
To |
[email protected] |
Subject |
st: Re: How does -kwallis2- compute adjusted p-values for significance? |
Date |
Thu, 12 Feb 2009 06:35:27 -0500 |
<>
To this end, StataCorp sponsors an excellent peer-refereed journal in
which many of the most heavily used user-written Stata packages are
fully documented with references to the underlying statistical
literature. Not every user-written package (including many of my own)
has been described in the Stata Journal, but I would urge authors of
generally useful user-written packages to submit their work to the
Journal. Although the process is similar to that of any respected
journal in terms of rigor and demands on the author, turnaround is
relatively swift and in my experience as an associate editor most
submissions are eventually published with one or two rounds of
revision. (This may reflect selection bias, in that the editors may
have culled poor submissions and not sent them on). We all benefit by
having user-written packages more formally documented, and after three
years the articles are freely available.
Kit Baum, Boston College Economics and DIW Berlin
http://ideas.repec.org/e/pba1.html
An Introduction to Modern Econometrics Using Stata:
http://www.stata-press.com/books/imeus.html
On Feb 12, 2009, at 02:33 , Martin wrote (quoting Tiago):
"Again, this is one of the most important failure of Stata: there are
packages to do everthing, but few of them can be mentioned in papers."
Not quite sure what you are getting at here. Is R any better in this
respect? Anyway, you should not call this a failure of Stata.
Everything
inside official Stata is backed up by references in the help files
and even
more extensively in the manuals. Official Stata is not responsible
for what
authors of user-written packages do or do not do, though...
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