LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (May 1999, week 1)Back to main SAS-L pageJoin or leave SAS-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:         Thu, 6 May 1999 13:38:22 -0400
Reply-To:     "Hudson, Spencer" <shudson@VIROPHARMA.COM>
Sender:       "SAS(r) Discussion" <SAS-L@UGA.CC.UGA.EDU>
From:         "Hudson, Spencer" <shudson@VIROPHARMA.COM>
Subject:      FW: What method should I use?
Comments: To: SAS List <SAS-L@listserv.uga.edu>
Content-Type: text/plain; charset="iso-8859-1"

Of course, strictly speaking, it is now too late to decide "...what differences/changes are of interest to you..." because GBH has already looked at the data. Cheers, Spencer Hudson

-----Original Message----- From: John Whittington [mailto:medisci@POWERNET.COM] <mailto:[mailto:medisci@POWERNET.COM]> Sent: Thursday, May 06, 1999 10:53 AM Subject: Re: What method should I use?

At 10:36 06/05/99 -0400, Huntress, Gary B. wrote (in part): >Using proc mixed, glm with repeated statement, and glm with manova >statement it is clear that there are significant changes among all of >the measurements, but none tell where the statistically significant >changes are. How do I pinpoint the significant changes using SAS?

The general answer is that you need to decide what differences/changes are of interest to you and examine their 'significance' - e.g. using CONTRAST and/or LSMEANS statements. Unless it's unavoidable, you probably would not want to look at 'all possible differences/changes' with a design as complicated as yours, since the penalty in terms of 'multiple test correction' would then be high. Regards,

John

---------------------------------------------------------------- Dr John Whittington, Voice: +44 (0) 1296 730225 Mediscience Services Fax: +44 (0) 1296 738893 Twyford Manor, Twyford, E-mail: medisci@powernet.com <mailto:medisci@powernet.com> Buckingham MK18 4EL, UK mediscience@compuserve.com <mailto:mediscience@compuserve.com>

----------------------------------------------------------------


Back to: Top of message | Previous page | Main SAS-L page