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November 30, 2016 12:06PM
Hi Gang,

In my study, I used 3dLME to run linear mixed-effect models on functional connectivity data. In the model, the factor condition is the fixed effect, and the factor react is the random effect. Is a repeated measures design.

I was wondering if
Bij = a0j + a1j*Xij + g0i + g1i*Xij + eij
is the correct expression to cite.


Here's my 3dLME code:
3dLME \
-prefix LME_$seed\_glt6Up \
-jobs 4 \
-model "condition*react" \
-mask ../../groupmask/NoiseMaskcol_TN+tlrc \
-qVars "react" \
-qVarCenters '0' \
-ranEff '~1+react' \
-SS_type 3 \
-num_glt 7 \
.
.
-dataTable \
Subj	react		condition	InputFile \
s1	55.4636		neutral		../../subjF1/Decon_PPI_bis/bucket_T_ppi_$seed\+tlrc'[132]' \
.
.
s17	104.3677	negative	../../subjF20/Decon_PPI_bis/bucket_T_ppi_$seed\+tlrc'[136]'

Thanks, Simone
Subject Author Posted

Formula for linear mixed effect model

smndpln November 30, 2016 12:06PM

Re: Formula for linear mixed effect model

gang November 30, 2016 03:49PM

Re: Formula for linear mixed effect model

smndpln November 30, 2016 04:06PM

Re: Formula for linear mixed effect model

gang December 01, 2016 08:36AM

Re: Formula for linear mixed effect model

smndpln December 01, 2016 08:52AM