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Hi Zhou,

Yes, this is fine, but note that you need to run randomise twice, one for A, another for B, unless none of the subjects that did A did also B (i.e., unless there is no overlap between A and B).

All the best,

Anderson



On 16 April 2014 14:43, Zhou Deng <[log in to unmask]> wrote:
Dear FSL experts,

        Our team has a big sample of about 300 people, some people did no finish inventory A, some did not finish

inventory B, we meant to run TBSS analysis (before statistic analysis) of the whole sample (300), then deselect subjects

according to a specific inventory.

       Could  I  do this by specifying design.mat by assigning the sample into two groups( Group1 who had finished the

inventory,  Group2 who hadn't), and only use Group1 for randomise analysis?

       For example, if i have 5 subjects, subject 5 did not finished inventory A, could I specify design.mat, design.con like this:

       design.mat:
                         1  0  x1 0
                         1  0  x2 0
                         1  0  x3 0
                         1  0  x4 0
                         0  1  0   x5
                  PS: x means the mean-centered score of inventory A (across all 5 subjects).
      design.con
                         0  0  1  0
                         0  0  -1 0

      Then, randomise -i AllSkeleton_FA -o tbss -m Mean_FA_mask -d design.mat -t design.con -n 5000 --T2 -D

      Is the above listed steps ok? thanks in advance.



All the best,
Zhou