>>> "adel F." < XXXX@XXXXX.COM > 6/6/2006 6:37 am >>> wrote

<<<

in one way anova , we usually use the Bonferroni correction , if we

have a categorical variable X, of more than 3 categories, for example

5, in order to test the equality of means of the Y variable.

If instead of anova, I use the multiple linear regression Y= X, do I

need to do the Bonferroni correction here also?

How to correct for multiple comparisons is a complex question that

depends on many things, some of them philosophical. But it cannot

depend on the choice between ANOVA and regression, since the two are the

same, they are both instances of the general linear model, in matrix

form

Y = XB + e

Now,often, one uses the word 'regression' when the X is continuous,

And ANOVA when the X is categorical, and some use ANCOVA when the X are

a mix of categorical and continuous. But that's nomenclature. not

statistics.

HTH, but if you want more specific advice, I suggest writing back to

SAS-L with more information: What is Y? What is X?

Peter

Peter L. Flom, PhD

Assistant Director, Statistics and Data Analysis Core

Center for Drug Use and HIV Research

National Development and Research Institutes

71 W. 23rd St

http://cduhr.ndri.org
www.peterflom.com

New York, NY 10010

(212) 845-4485 (voice)

(917) 438-0894 (fax)