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2011
This chapter expands on linear models through the introduction of random effects, where the independent variables in the model include those variables that are fixed and those that vary across subjects. The general linear mixed effects model (LMEM) is introduced as methods for parameter estimation – maximum likelihood and restricted maximum likelihood.
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This chapter expands on linear models through the introduction of random effects, where the independent variables in the model include those variables that are fixed and those that vary across subjects. The general linear mixed effects model (LMEM) is introduced as methods for parameter estimation – maximum likelihood and restricted maximum likelihood.
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Organic mixed conductors for bioinspired electronics
Nature Reviews Materials, 2023Paschalis Gkoupidenis +2 more
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Mixed-lineage kinase control of JNK and p38 MAPK pathways
Nature Reviews Molecular Cell Biology, 2002Gary L Johnson
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