Pedagogy
Teaching Resources
Course readers for my graduate methods sequence, hosted on this site. Each reader is meant to accompany the standard textbooks listed under each course — I draw on many of their concepts and formulas, and the reader is not a substitute for those sources. Open a reader full-screen, or browse the preview below.
A course reader for the first graduate regression sequence: the linear model from the ground up — OLS, the Gauss–Markov assumptions, inference, diagnostics, and reproducible workflows in R. It accompanies the textbooks below; many concepts and formulas are drawn from those sources.
Course textbooks (required companions)
This reader accompanies these textbooks. I draw on many of their concepts and formulas; work through the assigned chapters in parallel with the reader.
- Fox, John (2016). Applied Regression Analysis and Generalized Linear Models (3rd ed.). Sage.
- Fox, John, and Sanford Weisberg (2019). An R Companion to Applied Regression (3rd ed.). Sage.
- Gelman, Andrew, and Jennifer Hill (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press.
Preview only — use Open book for navigation, search, and chapters (some chapters are large and load slowly).
A course reader for the second-semester methods sequence: limited dependent variables, count and ordered outcomes, simulation, hierarchical models, and causal inference. It accompanies the textbooks below; many concepts and formulas are drawn from those sources.
Course textbooks (required companions)
This reader accompanies these textbooks. I draw on many of their concepts and formulas; work through the assigned chapters in parallel with the reader.
- Long, J. Scott (1997). Regression Models for Categorical and Limited Dependent Variables. Sage.
- McElreath, Richard (2020). Statistical Rethinking: A Bayesian Course with Examples in R and Stan (2nd ed.). CRC Press.
- Gelman, Andrew, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin (2014). Bayesian Data Analysis (3rd ed.). CRC Press.
Preview only — use Open book for navigation, search, and chapters (some chapters are large and load slowly).