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Dear Kersten,

Thank you for your answer, I have some follow-up questions to the
first two points before I can move on.

1) Regarding family-relation, since three random effects may not work,
did you mean that a simpler model with 2 random effects (intercept and
family ID, thus leaving out slope which I assume is time from
baseline) would work? While forgetting family ID is an option, it
would be a model that may attract criticism.

2) Regarding multiple comparison correction, I understand how to
perform the procedure you suggested (second option) to simply
calculate the corrected p threshold using pcor = -log10(pth) and then
use pcor as threshold for the sig.mgh. However after running FDR2:
[detvtx,sided_pval,pth] =
lme_mass_FDR2(F_lhstats.pval,F_lhstats.sgn,lhcortex,0.05,0);

While detvtx is not empty (a few vertexes survived) and the pth value
is calculated to 1.00000e-30 and therefore pcor to 30. This doesn’t
seem right. What is also strange is that I saw a few times a more
reasonable pth in the range of e-5 using the exact same data and
procedure. I cannot replicate this in the same analysis in R2021, now
I only get the e-30 (I only tried left cortex thickness so far).

Best,
Julian

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