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st: Re: How does -kwallis2- compute adjusted p-values for significance?


From   Kit Baum <baum@bc.edu>
To   statalist@hsphsun2.harvard.edu
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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