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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.

1 vote
0 answers
26 views

Are random effects just interaction factors with many levels?

Say you're fitting a generalized linear model where the response variable is weight and there are several factors: height, sex, vegetarian, country where the person lives, etc. Now say you expect ther …
joshisanonymous's user avatar
5 votes
1 answer
706 views

Is it normal to have thousands of df in a logistic regression model?

I'll admit right off the bat that degrees of freedom is not a concept I understand very well in general. That being said, I was reading a study that reported the following results: I struck me that t …
joshisanonymous's user avatar