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Re: st: RE: Bonferroni-holm


From   "Roger B. Newson" <r.newson@imperial.ac.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: Bonferroni-holm
Date   Tue, 21 Aug 2012 11:36:08 +0100

-findit qvalue- also gets you there, though (at least on my Stata/MP Version 12)..

Roger

Roger B Newson BSc MSc DPhil
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: r.newson@imperial.ac.uk
Web page: http://www.imperial.ac.uk/nhli/r.newson/
Departmental Web page:
http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/popgenetics/reph/

Opinions expressed are those of the author, not of the institution.

On 20/08/2012 22:59, Art Burke wrote:
Sadjad ...

Sorry for my earlier misspelling, see if this is what you want ...

findit qqvalue

Art
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Arthur Burke
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Date: Sun, 19 Aug 2012 18:03:15 +0430
From: Sadjad Riahi <sadjad.riahi@gmail.com>
Subject: st: Bonferroni-holm

dear statalist,
I have found In a paper with the similar methodology with ours that for correction of multiple comparisons, authors have applied bonferroni-holm correction. To explain the analysis in short, they have several dependent variable (subcorticalgray matter  region
volumes) and three groups of diagnosis, intracranial volumes,age and sex as predictor variables.they have fitted a GLM for each region volume as the dependant variable seperately, then F test was preformed and subsequently contrast analysis. but for multiple comparison they first corrected for the omnibus test and then correction for pairwise comparison for each GLM that survived the first round of correction was performed. Can you please enlighten me with this correction procedure more in detail.

yours,

Sadjjad Riahi

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