Date: Mon, 10 May 1999 11:33:42 -0700 (PDT)
From: Thomas Lumley <thomas@biostat.washington.edu>
To: r-help@stat.math.ethz.ch
Subject: Re: [R] ANOVA "ex post" Analysis
In-Reply-To: <x23e149asi.fsf@blueberry.kubism.ku.dk>
On 10 May 1999, Peter Dalgaard BSA wrote:
> ---------------------------------------------------------
> From: Thomas Lumley <thomas@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
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