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Hi experts,

I want to examine between-group differences in LGI controlling for age, sex
and surface area (all except sex demeaned).

To do so, I ran the DODS model on QDEC selecting:

-         “diagnosis” and “sex” as discrete (fixed factors)

-         “age” and “surface area” as nuisance factors

-         And selected this question à “Does the average pial_lgi,
accounting for sex, differ between TD and NDD? Nuissance factors: Age
Surface area”

1) I wanted to ask you what the significant results from the above analysis
means?

I was under the impression that the significant clusters represent clusters
where there are significant group differences in LGI while controlling for
age, surface area and sex.

But I am confused because I know from previous threads that you recommend
to run DODS to check for interactions first, and if there is no interaction
to then run DOSS to see differences between groups. So:

2) Do my significant results mean that I have an interaction between
diagnosis and sex OR diagnosis and age OR diagnosis and surface area?

3) Considering that I have an interaction, how do I now examine between-group
differences in LGI? Is what I have done (through the DODS model) correct?


I'd really appreciate your help,


Thanks so much,


Avi
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