|Date: ||Wed, 21 Feb 2001 14:30:13 +0100|
|Reply-To: ||"Beyersmann, Jan /BDF HAM" <BeyersJ@HAMBURG.BEIERSDORF.COM>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||"Beyersmann, Jan /BDF HAM" <BeyersJ@HAMBURG.BEIERSDORF.COM>|
|Subject: ||Re: multiple comparisons of not normally distributed data|
yes, MULTTEST does those things, cf. Westfall et al.: Multiple Comparisons
and Multiple Tests Using the SAS System, SAS Institute, 1999. MULTTEST
allows you to do permutation tests on your data.
> -----Original Message-----
> From: Christian F.G. Schendera [SMTP:schendera@NIKOCITY.DE]
> Sent: Wednesday, February 21, 2001 11:26 AM
> To: SAS-L@LISTSERV.UGA.EDU
> Subject: multiple comparisons of not normally distributed data
> Data situation: 3 independent groups, several continuous
> vars. Continuous vars are not normal distributed (only a third of the data
> reach ShapiroWilks >0.1).
> Problem: Collegues compared the three groups pairwise with simple Mann
> Whitneys at alpha 0.05. Journal reviewers criticized this proceeding for
> having used p-adjusting procedures like Bonferroni.
> Question: Are reviewers right? How could one apply p-adjusting procedures
> when conditions for ANOVA/GLM are not met? Could MULTTEST be used to
> multiple comparisons on the described data? Or adjust the p in the
> comparisons? Whta would you recommend in this situation?
> Thanks in advance,