Hi Doug,

Thanks... Presumably I'd just leave each possible pair of groups at a time
in the qdec table, and delete rows corresponding to subjects of the
remaining group? And then do stats on, e.g. "long.thickness-rate" to
compare rate of change between the current pair of groups?
Doesn't variability across all 3 groups somehow have to be accounted for?

Tudor


On 16 June 2014 20:38, Douglas Greve <gr...@nmr.mgh.harvard.edu> wrote:

>
> Yes, you could do each separately.
> doug
>
>
>
> On 6/16/14 8:10 PM, Tudor Popescu wrote:
>
>  Dear FS list,
>
> I have a data set with 3 groups (2 treatments, 1 control), each with
> equally-spaced time-points (pre and post structural scan). I've done the 3
> longitudinal pre-processing steps, and stage#1 of the two-stage model, and
> I would prefer to run stage#2 (cross-sectional analysis of the difference)
> with QDEC as opposed to with mri_glmfit.
>
> I know that QDEC is meant for 2 groups, but I see that designs with 4 or 6
> groups can be analysed with QDEC (as per this
> <https://surfer.nmr.mgh.harvard.edu/fswiki/FsgdExamples> FSGD examples
> page) whereas designs with 3 groups cannot be. It seems to me that an even
> number of groups is QDEC-able while an odd number isn't, but is there any
> workaround so that I can still use QDEC? Perhaps if I only do pairwise
> comparisons one at a time, i.e. treatment1 vs control and treatment2 vs
> control?
>
> Many thanks!
>  Tudor
>
>
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