My Talk at IU
Last November I was invited to give a couple of talks at Indiana University. I really enjoyed the visit and I thought I’d go ahead and post the talk. I’ve given versions of it previously at UK and the University…
Week 6: Overview of Estimation of Random Effects
Analytic Methods Robinson, G. K. (1991). “That BLUP is a good thing: the estimation of random effects.” Statistical Science: 15-32. Swamy, P. and S. S. Arora (1972). “The exact finite sample properties of the estimators of coefficients in the error…
Week 3: More Complicated Multilevel Structures
Centering and Model Structure Jim Savage Random Effects, Partial Pooling, and Exchangeability. Blog Post Enders, C. K. (2013). Centering predictors and contextual effects. SAGE Handbook of Multilevel Modeling. M. A. Scott, J. S. Simonoff and B. D. Marx. Bafumi, J….
Week 2: Fixed, Random, and Mixed Effects
This week is a standard introduction to fixed, random, and mixed effects models and choices between them. This is mostly a mix of readings debating the econometric point of view and the statistical point of view on fixed and random…
An Advanced Multilevel Modeling Reading List
This Spring I went through a set of advanced readings on multilevel modeling with my teaching assistants for the ICPSR summer program this coming July/August. The goal was to give them a pretty deep dive into how I think about…
Updates for 2018 and teaching
It’s been pretty quiet on the blogging front for the last year or so. I finished up my PhD, started my postdoc, and taught advanced multilevel modeling at ICPSR in the time since I tried to blog semi-regularly. So things…
Reducing the Number of Random Effects in Your Model
One of the problematic things with multilevel modeling is that it can be somewhat tricky to determine if and when random effects are important. Ideally, you would want to use a P value but it’s not particularly easy to do so with…
My New Years Resolutions Reading List
Last January, I created a reading list for myself for the upcoming year. It turns out that just creating the list doesn’t actually mean that you’ll read everything on it and I managed to get through about a third of…
Standard Error Corrections and the Sandwich Estimator
Previously, I alluded to being able to deal with clustering problems by using something called Hubert-White cluster robust standard errors –also known as a sandwich estimator because the formula looks like a little sandwich. Instead of effectively modeling a multilevel data…
The Bristol Centre for Multilevel Modeling
I wanted to take a moment to plug the Centre for Multilevel Modelling at Bristol University. They are probably the leading research organization for multilevel modeling in the world. I took their free online course a while back and found it quite useful….