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st: RE: Appropriate parametric and nonparametric test
If you just want a test that produces a P-value, then use the -ranksum-
command in Stata.
If yiu would really prefer a confidence interval for the median
difference, then use the -cendif- command, which is part of the
-somersd- package, downloadable from SSC. The -somersd- package gives
confidence intervals for a range of rank statistics, and has .pdf
manuals, distributed with the package.
I hope this helps.
Roger
Roger 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 Anita Sayal
Sent: 20 October 2007 09:04
To: [email protected]
Subject: st: Appropriate parametric and nonparametric test
Dear collegues,
what would you recommend the ideal parametric and
non-parametric test for 2 small samples one with 25
obs. the other with 31.(both unrelated models)
OLS did not work in both occassions I found the
classical assumptions did not hold so I was looking
for a non-parametric counterpart such as..Chi-squared
test that did not work either..
Thanks in advance
Anita
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