- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
Posted 06-02-2007 10:20 PM
(1338 views)
How can I analyze a design where the sample is randomly divided into three groups? Each group receives one of three treatments and dependent variables are measured. Then, a second trial is conducted where each group is administered a different treatment than they received the first time, and dependent variables are measured. The same procedure is followed a third time.
I have been told that this is a repeated measures design. However, the only examples of repeated measures I can find like this involve the same treatments over time, and between subjects (group) differences are compared.
I need a SAS code to partial out the repeated measures part of the SSEs.
I have been told that this is a repeated measures design. However, the only examples of repeated measures I can find like this involve the same treatments over time, and between subjects (group) differences are compared.
I need a SAS code to partial out the repeated measures part of the SSEs.
2 REPLIES 2
- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
Your mean is A Three (Sequences) by Three (Periods) Crossover Design with Repeated Measures?
The Mixed Linear Model,I think, is fitted for this design.
The Mixed Linear Model,I think, is fitted for this design.
- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
PROC MIXED data = data;
CLASS subject trt period seq;
MODEL var = trt seq period / s ddfm=satther;
RANDOM subject(seq);
CONTRAST 'A vs B' trt 1 -1 0/ stdiff cl;
RUN;
CLASS subject trt period seq;
MODEL var = trt seq period / s ddfm=satther;
RANDOM subject(seq);
CONTRAST 'A vs B' trt 1 -1 0/ stdiff cl;
RUN;