Question: Which statement best describes the difference between generalized estimation equations (GEEs) and linear mixed models (LMMs)? O GEEs require normality assumptions, while LMMs do not

Which statement best describes the difference between generalized estimation equations (GEEs) and linear mixed models (LMMs)? O GEEs require normality assumptions, while LMMs do not have distributional assumptions GEEs assume a specific distribution for the outcome variable, while LMMs do not GEEs account for within-subject or within-cluster correlation, while LMMs do not O GEEs estimate population-averaged effects, while LMMs estimate subject-specific effects

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