[R] ANOVA "ex post" Analysis
Thomas Lumley
thomas at biostat.washington.edu
Mon May 10 20:33:42 CEST 1999
On 10 May 1999, Peter Dalgaard BSA wrote:
> ---------------------------------------------------------
> From: Thomas Lumley <thomas at biostat.washington.edu>
> Date: Tue Jul 14, 5:33pm -0700
> To: Matthew Kay <mwkay>
>
> Here is code for three p-value based post hoc tests: bonferroni, holm, and
> hochberg. Holm is better than Bonferroni under all circumtances. Hochberg
> is more powerful than Holm, but under some slightly pathological
> situations it can exceed the nominal Type I error rate.
>
> I haven't looked at this code for a long time, but I think it works
> correctly. Refeerences for the methods are in "Adjusted p-values for
> simultaneous inference" by S. Paul Wright in Biometrics some time in
> the early 90s (I'm in the wrong country at the moment so I don't have the
> full reference).
The reference is
@Article{multiple-testing,
author = "S Paul Wright",
title = "Adjusted P-values for simultaneous inference",
key = "Biometrics",
volume = 48,
pages = "1005--1013"
}
Thomas Lumley
Assistant Professor, Biostatistics
University of Washington, Seattle
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
More information about the R-help
mailing list