[R-sig-ME] p-correction for effects in LMM
boj@n@@d|n|c @end|ng |rom gm@||@com
Fri Nov 26 08:41:26 CET 2021
I use linear mixed models with 1 random effect (subject), 2 fixed
factors (one is between factor and another is repeated) and one
explore all main effects, 2-way interactions and one 3-way
Regarding of used software, somewhere I get effect of intercept,
somewhere not. Reviewer asks to use p-adjustment for these
effects. My dilemma is should I apply p-correction for 7 tests or 8
random intercept for subjects)?
The output do not contain F for random effect, but only variance.
Also, the output do not contain effect size. CIs are available only
betas as product of specific level of both fixed effects and
since I have 3 levels for between and 4 for repeated effects, the
output is not helpful + there is no possibility to change reference
Thus, I'm stuck with p-adjustment.
Any help is welcomed.
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