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We are working in Matlab to analyze longitudinal data using the
mass-univariate approach to Linear Mixed Effects (LME) Modeling.


Step 1: Below is the design matrix (first few rows) we created in an effort
to compare subjects with low, moderate, and high drinking behavior with
respect to time (3 groups).


1 0 1 0 0 0 0 0
1 3.0 1 3.0 0 0 0 0
1 0 1 0 0 0 0 0
1 1.2 0 0 1 1.2 0 0
1 2.3 0 0 0 0 1 2.3
1 3.5 0 0 0 0 1 3.5
1 0 1 0 0 0 0 0

Column 1 - intercept ones; 2 - time (years since baseline scan); 3 - low
drinking group; 4 - low drinking x time; 5 - mod drinking group; 6 - mod
drinking x time; 7 - high drinking group; 8 - high drinking x time


Step 2: To compare low/moderate drinking, mod/high drinking, and low/high
drinking, we created the contrast matrix below:


CM=[0 0 0 1 0 -1 0 0; 0 0 0 0 0 1 0 -1; 0 0 0 1 0 0 0 -1]


Row 1 - low/mod drinking; Row 2 - mod/high drinking; Row 3 - low/high
drinking


Please let us know if the contrast matrix is appropriate for our design
matrix and the comparisons we would like to make. This seems incorrect
since there is only one output from "lme_mass_F(lhstats,CM);"


Thank you for your help.
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