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Article #192repeated meassurement s-plus
From: PL
Date: Sun, 09 Nov 2003 21:43
Date: Sun, 09 Nov 2003 21:43
31 lines
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1653 bytes
Dear Newsgroup, i have data of a clinical study were in a control group C and treatment group T (factor group) a parameter P is meassured a timepoint 0 and 12(factor time). I now want to check if the change of P between 0 and 12 differs significantly in these two groups. I was thinking of solving this problem with the following model in S-Plus 6.1: aov(P ~ time:group + Error(subject),data=...) where subject is the factor for the repeated meassured data(at timepoint 0 and 12). my question: is this the right model for repeated meassurement and is it ok to just test the interaction of time and group, or should i include the other factor into the model as well. thanks in advance Peter
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: fa931,9437a6cceec9230d,start X-Google-Attributes: gidfa931,public X-Google-ArrivalTime: 2003-11-09 13:43:36 PST Path: arc1-ca.pugleaf.net!archiver1.google.com!news2.google.com!news.maxwell.syr.edu!feed.news.nacamar.de!newsfeed01.chello.at!news.chello.at.POSTED!53ab2750!not-for-mail From: "PL" <kugu@chello.at> Newsgroups: aus.stats.s Subject: repeated meassurement s-plus Lines: 34 X-Priority: 3 X-MSMail-Priority: Normal X-Newsreader: Microsoft Outlook Express 6.00.2800.1106 X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2800.1106 Message-ID: <cyyrb.1064$ky5.42203@news.chello.at> Date: Sun, 09 Nov 2003 21:43:36 GMT NNTP-Posting-Host: 213.47.227.52 X-Complaints-To: abuse@news.chello.at X-Trace: news.chello.at 1068414216 213.47.227.52 (Sun, 09 Nov 2003 22:43:36 MET) NNTP-Posting-Date: Sun, 09 Nov 2003 22:43:36 MET Organization: Customers chello Austria