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Statistical analysis of datasets comprising several levels of hierarchy (e.g., students nested in classes nested in schools or hierarchical forecasting). For questions about mixed models use [mixed-model] tag. For nested random effects, use [nested-data].
2
votes
What are the common methodology can be used to find the parameter of the fixed and random ef...
This paper has a lot of the details you're probably after (section 3 in particular):
https://arxiv.org/pdf/1406.5823.pdf
Although it's for lme4 rather than nlme. I'm not sure what the differences ar …
2
votes
1
answer
92
views
Specifying multilevel model structure when random effects exhaust the population
I have been working with a dataset featuring observations at the county level for about 1300 of the ~3100 or so counties of the United States. These 1300 counties are drawn from every state in the uni …
4
votes
1
answer
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Difference between multilevel logistic regression and a logistic regression with lower level...
I have a question about the differences between two forms of logistic regression.
Let's say that I have data that is collected with some nesting. For concreteness, we'll say that I've got data across …