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Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.

2 votes
1 answer
45 views

Mixed-effects models

I'm quite new with linear mixed-effects models. Could you tell me some general rules to choose which effect is fixed and which effect is random in my regression model? Also, how do you decide when to …
Maximilian's user avatar
3 votes
0 answers
54 views

Mixed effects models - clusters with one observation [duplicate]

I'm quite new with GLMM, and I'm fitting a linear mixed model in R since I'm dealing with longitudinal data. I want to treat subjects id as random effect. I have 290 clusters made up by subjects obser …
Maximilian's user avatar
3 votes
3 answers
313 views

How to check normality assumption in Mixed-effects models?

I'm dealing with longitudinal data, and to take into account the dependence of observations within the cluster, I shall rely on a generalized linear mixed model. I have a continuous response variable, …
Maximilian's user avatar
0 votes
0 answers
41 views

Linear mixed model - Model Selection

I have 290 clusters made up by subjects observed from one to 14 times, and a relative large number (45) are observed only once. I worked in R, and I considered subjects ID as random effect. The first …
Maximilian's user avatar