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Re: st: Non-parametric tests and weights
At 15:06 01/02/2005, Marcello Pagano wrote:
A question from Heather Carroll:
I cannot speak for -ranksum- or -kwallis-. However, my own -somersd-
package (downloadable from SSC) computes confidence intervals for the
parameters corresponding to the so-called "nonparametric" Wilcoxon test,
and allows the user to specify -pweights-. The -somersd- package has 2 .pdf
manuals downloadable from SSC as ancillary files. Heather might also like
to read my Stata Journal article (Newson, 2002) about confidence intervals
for rank statistics. A pre-publication draft of this (in .pdf form) can be
downloaded from my website (see my signature below), either by using a
browser or by finding it within Stata by typing
Why the nonparametric tests like kruskal wallis (kwallis) or wilcoxon
(ranksum) do not accept the use of sampling weights. Are these statistics
not biased no matter what the sampling design is?
which will point ther user to my website.
I hope this helps.
Newson R. 2002. Parameters behind "nonparametric" statistics: Kendall's
tau, Somers' D and median differences. The Stata Journal 2(1): 45-64.
Lecturer in Medical Statistics
Department of Public Health Sciences
King's College London
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Opinions expressed are those of the author, not the institution.
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