repeated measurements with cross-over design

[Karin <twentestat@yahoo.com>]

Hello,

 

I want to analyse repeated measurement data from an experiment with an cross-over design.

The design is as follows:

We have 3 treatments, say A, B and C.

People were divided into 3 groups where the first group got

treatment-sequence ABC, the second: BCA and the third CAB.

For each person, each treatment, there are 7 measurements-conditions:

baseline, during task 1 to 4 and two post measurements.

 

First of all I want to conclude that there is a difference between the 7 measurements and/or between the 3 treatments. [and therefore neglect/forget the period effect]

 

My idea was to use: (type is a factor variable with 7 levels: the different conditions under

which the outcome is measured)

 

fit_lme(fixed=outcome~treatment+type,random=~1|person,data="">

 

Is this the right analysis or do I forget something (besides the period effect)?

 

Thanks!

 

Karin

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