| Date: | Tue, 18 May 2004 08:39:42 +0200 |
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| Reply-To: | Gregor Gorjanc <gregor@MRCINA.BFRO.UNI-LJ.SI> |
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| Sender: | "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU> |
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| From: | Gregor Gorjanc <gregor@MRCINA.BFRO.UNI-LJ.SI> |
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| Subject: | Re: Inconsistency between multiple test by Dunn and nonparametric
one-way anova - Kruskall-Wallis test |
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| In-Reply-To: | <200405171526.i4HFQ8231627@listserv.cc.uga.edu> |
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| Content-Type: | text/plain; charset=us-ascii |
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Hi!
Thank you for your thoughts. Unfortunatelly I can not use Jonckheere test or
any transformations.
I will try with Bonferroni-Holms correction..
Do you have any example for Bonferroni-Holms correction. I have found
your post on Tue, 27 Apr 2004 14:23:24 UT on SAS-L. Did you get any
response?
With regards, Gregor
On Mon, May 17, 2004 at 11:26:08AM -0400, Holger Bargen wrote:
> Dear Gregor,
> you could alternatively conduct a pairwise Mann-Whitney (=Wilcoxon) Test
> with Bonferroni-Holms correction, but I don't know, if this would help.
> Dunn test is known as a conservative one.
> If you have comparisons, which would allow a stepwise testing (you need to
> expect an increase/decrease of values in ascending order; e.g. dose
> response) you could conduct Jonckheere test.
> The first thing, which I would try, is to get normal distributed data by
> means of transformation and then conduct parametric tests (e.g. Dunnett's t-
> test). Only if you can't reach normality and homogenity of variances
> conduct nonparametric tests.
> I'm just a biologist, who knows only little about statistics. I'm also
> looking for a powerful nonparametric multiple comparison test and have not
> found one yet. It would be great, if a professional statistican could give
> some advise.
>
> Best regards
> Holger
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