# GLMM FAQ

GLMM FAQ (null)

# R’s lmer() cheat sheet

R’s lmer cheat sheet There’s a lot of discussion going on on this forum about the proper way to specify various hierarchical models using lmer. I thought it would be great to have all the information in one place. A c…

# Understanding Diagnostic Plots

University of Virginia Library Research Data Services + Sciences You ran a linear regression analysis and the stats software spit out a bunch of numbers. The results were significant (or not). You might think that you’re done with analysis. No, not yet. After running a regression analysis, you should check if the model works well Read more about Understanding Diagnostic Plots[…]

# Math 4432: Statistical Learning

Math4432: Statistical Learning This course is open to graduates and senior undergraduates in applied mathematics, statistics, and engineering who are interested in learning from data. It covers hot topics in statistical learning, also known as machine learning, featured with various in-class projects in computer vision, pattern recognition, computational advertisement, bioinformatics, and social networks, etc.

# Mixed Effects Models

Introduction to Linear Mixed Models This page briefly introduces linear mixed models LMMs as a method for analyzing data that are non independent, multilevel/hierarchical, longitudinal, or correlated. We focus on the general concepts and interpretation of LMMS, with less time spent on the theory and technical details.

# MA50261 Paper 1 Secondary Sources

Cited In for PubMed (Select 26884584) – PubMed – NCBI PubMed comprises more than 29 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites. Google Scholar